{"id":87636,"date":"2026-07-31T12:11:27","date_gmt":"2026-07-31T09:11:27","guid":{"rendered":"https:\/\/twodots.gr\/?p=87636"},"modified":"2026-07-31T12:11:29","modified_gmt":"2026-07-31T09:11:29","slug":"synthetika-dedomena-doryforiko-internet-gt-gan","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/synthetika-dedomena-doryforiko-internet-gt-gan\/","title":{"rendered":"\u03a3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b3\u03b9\u03b1 \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03cc internet: \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf GT-GAN \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bb\u03b5\u03af\u03c0\u03b5\u03b9 \u03c4\u03bf 40%"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7:<\/strong> \u03c3\u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c4\u03c9\u03bd Xiang Shi \u03ba\u03b1\u03b9 Peng Hu, \u03c4\u03bf GT-GAN \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf \u03c0\u03b9\u03bf \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc \u03b1\u03c0\u03cc \u03c4\u03c1\u03af\u03b1 generative \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03bf\u03cd internet \u03ad\u03b3\u03b9\u03bd\u03b1\u03bd \u03c3\u03bf\u03b2\u03b1\u03c1\u03ad\u03c2. \u03a3\u03c4\u03bf 40% point-wise \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03c3\u03b1\u03c6\u03ce\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 discriminative \u03ba\u03b1\u03b9 predictive scores \u03b1\u03c0\u03cc SeriesGAN \u03ba\u03b1\u03b9 Temporal VAE. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c4\u03bf \u03ba\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03cc \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae: \u03c3\u03c4\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ac \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03ac\u03bb\u03bb\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2, \u03b5\u03bd\u03ce \u03c4\u03bf mode collapse \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5.<\/p>\n<\/div>\n<div class=\"td-article-note\">\n<p><strong>\u038c\u03c1\u03b9\u03bf \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u03c2:<\/strong> \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 preprint \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac 2.880 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1, \u03bf\u03ba\u03c4\u03ce \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac, \u03b4\u03cd\u03bf \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b7\u03bc\u03ad\u03c1\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 WetLinks. \u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ce\u03bd\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03af\u03b1\u03c2 Starlink \u03bf\u03cd\u03c4\u03b5 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03b1 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf \u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc dataset.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1<\/div>\n<ul>\n<li><a href=\"#ti-edeixe-meleti-mia-apantisi\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#elleipeis-metriseis-leo-ochi-aplo-keno\">\u0393\u03b9\u03b1\u03c4\u03af \u03bf\u03b9 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 LEO \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc \u03ba\u03b5\u03bd\u03cc<\/a><\/li>\n<li><a href=\"#block-wise-point-wise-diaforetikes-vlaves\">Block-wise \u03ba\u03b1\u03b9 point-wise: \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#tria-montela-diaforetikes-ypotheseis\">\u03a4\u03c1\u03af\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c5\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#pos-metrithike-poiotita-synthetikon-dedomenon\">\u03a0\u03ce\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd<\/a><\/li>\n<li><a href=\"#block-wise-apotelesmata-gt-gan\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bf\u03b9 block-wise \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2<\/a><\/li>\n<li><a href=\"#point-wise-pano-apo-20\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 20% point-wise \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#mode-collapse-paramenei-kindynos\">\u03a4\u03bf mode collapse \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#axia-gia-business-data-teams\">\u0397 \u03b1\u03be\u03af\u03b1 \u03b3\u03b9\u03b1 business data teams<\/a><\/li>\n<li><a href=\"#epta-elegchoi-prin-production\">\u0395\u03c0\u03c4\u03ac \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c3\u03b5 production<\/a><\/li>\n<li><a href=\"#oria-asynepeia-imerominion-symperasma\">\u038c\u03c1\u03b9\u03b1, \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<p>\u038c\u03c4\u03b1\u03bd \u03bc\u03b9\u03b1 \u03c1\u03bf\u03ae \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7\u03c2 \u03c7\u03ac\u03bd\u03b5\u03b9 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03b7 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03b7 \u03bb\u03cd\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b3\u03b5\u03bc\u03af\u03c3\u03b5\u03b9 \u03c4\u03b1 \u03ba\u03b5\u03bd\u03ac. \u0397 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b7 \u03bb\u03cd\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03bd\u03ad\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2, \u03b4\u03b9\u03ba\u03c4\u03c5\u03b1\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u0391\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 <em>A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations<\/em>.<\/p>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd GT-GAN, SeriesGAN \u03ba\u03b1\u03b9 Temporal VAE \u03c3\u03b5 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 LEO \u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c4\u03bf WetLinks. \u0391\u03bd\u03c4\u03af \u03bd\u03b1 \u03c1\u03c9\u03c4\u03bf\u03cd\u03bd \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u00ab\u03b3\u03b5\u03bc\u03af\u03b6\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac\u00bb \u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf, \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03b1\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<h2 id=\"ti-edeixe-meleti-mia-apantisi\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/h2>\n<p>\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03cc \u03cc\u03c1\u03bf\u03c5\u03c2: \u03c4\u03bf GT-GAN \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03b7\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7, \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03b1 point-wise \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03b1 20% \u03ba\u03b1\u03b9 40%. \u03a3\u03c4\u03bf \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc 5% \u03ba\u03b1\u03b9 10%, \u03cc\u03bc\u03c9\u03c2, \u03c4\u03bf Temporal VAE \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf discriminative score \u03ba\u03b1\u03b9 \u03c4\u03bf SeriesGAN \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf predictive score. \u0386\u03c1\u03b1 \u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b5\u03af\u03b4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b7\u03c2.<\/p>\n<p>\u0397 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03c0\u03bf\u03bc\u03b1\u03ba\u03c1\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u00ab\u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac;\u00bb. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, downstream \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03c3\u03c4\u03bf failure mode \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b7 \u03b4\u03b9\u03ba\u03ae \u03bc\u03b1\u03c2 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae;\u00bb.<\/p>\n<p>\u03a4\u03bf 40% \u03c4\u03bf\u03c5 \u03c4\u03af\u03c4\u03bb\u03bf\u03c5 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf \u03b1\u03ba\u03c1\u03b1\u03af\u03bf point-wise stress test \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc dataset \u03c7\u03ac\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03ae \u03cc\u03c4\u03b9 \u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 GT-GAN \u03b1\u03ba\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd.<\/p>\n<h2 id=\"elleipeis-metriseis-leo-ochi-aplo-keno\">\u0393\u03b9\u03b1\u03c4\u03af \u03bf\u03b9 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 LEO \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc \u03ba\u03b5\u03bd\u03cc<\/h2>\n<p>\u039f\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03bf\u03cd internet \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7, \u03c7\u03c1\u03cc\u03bd\u03bf, \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03af\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03af\u03bd\u03b7\u03c3\u03b7 \u03b4\u03bf\u03c1\u03c5\u03c6\u03cc\u03c1\u03c9\u03bd. \u039c\u03b9\u03b1 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c0\u03ae \u03c4\u03b5\u03c1\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd, \u03c0\u03b9\u03ac\u03c4\u03bf\u03c5, \u03b4\u03b9\u03ba\u03c4\u03c5\u03b1\u03ba\u03ae\u03c2 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ae\u03c2 \u03ae \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c0\u03af\u03bd\u03b1\u03ba\u03b1. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c6\u03ac\u03c3\u03b7 \u03bc\u03b9\u03b1\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03b1\u03cc\u03c1\u03b1\u03c4\u03b7 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 throughput, latency \u03ba\u03b1\u03b9 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03af\u03b1 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c0\u03bb\u03ae\u03c1\u03bf\u03c5\u03c2 WetLinks \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf \u03bd\u03ad\u03bf paper, \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd 44 \u03c3\u03c5\u03bc\u03b2\u03ac\u03bd\u03c4\u03b1 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2 \u03c3\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 5,5 \u03bc\u03ae\u03bd\u03b5\u03c2. \u03a4\u03b1 33 \u03ae\u03c4\u03b1\u03bd \u03ba\u03b5\u03bd\u03ac \u03b5\u03bd\u03cc\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c3\u03b7\u03bc\u03b5\u03af\u03bf\u03c5, \u03c5\u03c0\u03ae\u03c1\u03c7\u03b1\u03bd \u03ad\u03be\u03b9 \u03ba\u03b5\u03bd\u03ac \u03b4\u03cd\u03bf \u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd \u03c3\u03b7\u03bc\u03b5\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03ba\u03c1\u03b1\u03af\u03b1 \u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03c4\u03b1 51.570 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b4\u03b9\u03b1\u03c3\u03c0\u03bf\u03c1\u03ac \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1\u03c2 \u03bc\u03ad\u03c3\u03bf\u03c2 \u00abmissing rate\u00bb \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ce\u03c2 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03b7\u03b3\u03ae\u03c2.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<p class=\"td-chart-title\">\u03a4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03b4\u03af\u03bf \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03c9\u03c4\u03bf\u03b3\u03b5\u03bd\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1. \u039f\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03c1\u03ce\u03c4\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 missingness \u03c3\u03c4\u03bf WetLinks, \u03b5\u03bd\u03ce \u03bf\u03b9 2.880 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf \u03c5\u03c0\u03bf\u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">44<\/span><strong>\u03c3\u03c5\u03bc\u03b2\u03ac\u03bd\u03c4\u03b1 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2<\/strong><\/p>\n<p>\u03a4\u03b1 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ac missing-data events \u03c0\u03bf\u03c5 \u03b5\u03bd\u03c4\u03cc\u03c0\u03b9\u03c3\u03b1\u03bd \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 5,5 \u03bc\u03ae\u03bd\u03b5\u03c2 WetLinks.<\/p>\n<\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">33<\/span><strong>\u03ba\u03b5\u03bd\u03ac \u03b5\u03bd\u03cc\u03c2 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf\u03c5<\/strong><\/p>\n<p>\u0397 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b5\u03c1\u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2 \u03ae\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf.<\/p>\n<\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">51.570<\/span><strong>\u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1<\/strong><\/p>\n<p>\u0397 \u03b1\u03ba\u03c1\u03b1\u03af\u03b1 block-wise \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c4\u03bf\u03c5 dataset.<\/p>\n<\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2.880<\/span><strong>\u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1<\/strong><\/p>\n<p>\u03a4\u03bf \u03b4\u03b9\u03ae\u03bc\u03b5\u03c1\u03bf \u03c5\u03c0\u03bf\u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03bf\u03ba\u03c4\u03ce \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c4\u03c9\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03bf\u03bb\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03c3\u03c5\u03bd\u03b5\u03c0\u03ae \u03c4\u03b9\u03bc\u03ae. \u0394\u03b5\u03bd \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03ba\u03b1\u03c4\u2019 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03bd\u03ad\u03b1, \u03c0\u03bf\u03b9\u03ba\u03af\u03bb\u03b1 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 data augmentation. \u0397 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7: \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03ac\u03b8\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03ad\u03bd\u03b1\u03bd \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf.<\/p>\n<h2 id=\"block-wise-point-wise-diaforetikes-vlaves\">Block-wise \u03ba\u03b1\u03b9 point-wise: \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b5\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf block-wise \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03bf, \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03ba\u03c1\u03cd\u03b2\u03bf\u03c5\u03bd \u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 5, 10, 20 \u03ae 40 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b8\u03cd\u03c1\u03bf\u03c5. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03ba\u03b5\u03bd\u03cc \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c0\u03ae \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ae \u03b5\u03be\u03bf\u03c0\u03bb\u03b9\u03c3\u03bc\u03bf\u03cd. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c7\u03ac\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b1\u03b3\u03ad\u03c2 \u03c4\u03bc\u03ae\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf point-wise \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03bf, \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03c4\u03b9\u03b3\u03bc\u03ae \u03bb\u03b5\u03af\u03c0\u03bf\u03c5\u03bd \u03bc\u03b1\u03b6\u03af \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac, \u03bc\u03b5 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 5%, 10%, 20% \u03ba\u03b1\u03b9 40%. \u03a4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03af\u03b4\u03b9\u03bf \u03bc\u03b5 \u03ad\u03bd\u03b1 block-wise \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae: \u03b7 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03ba\u03b1\u03c4\u03b1\u03ba\u03b5\u03c1\u03bc\u03b1\u03c4\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ac \u03bc\u03b9\u03ba\u03c1\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf \u03ba\u03b5\u03bd\u03cc.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">\u0397 \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03b7\u03c2 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c4\u03b5\u03c3\u03c4<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--two\">\n<div class=\"td-platform-card\">\n<h3>Block-wise \u03ba\u03b5\u03bd\u03cc<\/h3>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bb\u03b5\u03af\u03c0\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03c1\u03c7\u03ae \u03b5\u03bd\u03cc\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b8\u03cd\u03c1\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03ad\u03c7\u03b5\u03b9 \u03c7\u03b1\u03b8\u03b5\u03af \u03b7 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Outage<\/span><span class=\"td-badge\">\u03a3\u03c5\u03bd\u03b5\u03c7\u03ad\u03c2 \u03ba\u03b5\u03bd\u03cc<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<h3>Point-wise \u03ba\u03b5\u03bd\u03ac<\/h3>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b5\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c4\u03b9\u03b3\u03bc\u03ad\u03c2 \u03bb\u03b5\u03af\u03c0\u03bf\u03c5\u03bd \u03c3\u03c0\u03bf\u03c1\u03b1\u03b4\u03b9\u03ba\u03ac.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Sensor loss<\/span><span class=\"td-badge\">\u039a\u03b1\u03c4\u03b1\u03ba\u03b5\u03c1\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>\u03a7\u03b1\u03bc\u03b7\u03bb\u03ae \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1<\/h3>\n<p>\u03a4\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03bf\u03c1\u03b1\u03c4\u03ac, \u03b3\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc reconstruction \u03ba\u03b1\u03b9 autoregressive \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03af \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">5%\u201310%<\/span><span class=\"td-badge\">\u03a4\u03bf\u03c0\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<h3>\u03a5\u03c8\u03b7\u03bb\u03ae \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1<\/h3>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 stress test \u03b3\u03b9\u03b1 global sequence features, \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">20%\u201340%<\/span><span class=\"td-badge\">\u0391\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc pipeline, \u03b1\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf monitoring \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c0\u03cc\u03c3\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03bb\u03b5\u03af\u03c0\u03bf\u03c5\u03bd, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1, \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1, \u03ba\u03bf\u03b9\u03bd\u03ac \u03c7\u03b1\u03bc\u03ad\u03bd\u03b1 features \u03ba\u03b1\u03b9 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03ba\u03b5\u03bd\u03bf\u03cd \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1. \u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7, \u03c4\u03bf benchmark \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03ac\u03bb\u03bb\u03b7 \u03b2\u03bb\u03ac\u03b2\u03b7 \u03b1\u03c0\u03cc \u03b5\u03ba\u03b5\u03af\u03bd\u03b7 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<h2 id=\"tria-montela-diaforetikes-ypotheseis\">\u03a4\u03c1\u03af\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c5\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u03a4\u03bf GT-GAN \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03bf\u03cd \u03c3\u03ba\u03bf\u03c0\u03bf\u03cd adversarial \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b3\u03b9\u03b1 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03ba\u03b1\u03bd\u03cc\u03bd\u03b9\u03c3\u03c4\u03b5\u03c2 \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ad\u03c2. \u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 autoencoder \u03bc\u03b5 GAN \u03ba\u03b1\u03b9, \u03c3\u03c4\u03b7\u03bd \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03c4\u03b7\u03c2 \u03bd\u03ad\u03b1\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 global sequence-level \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03ac \u03c4\u03bf\u03c5 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03b4\u03b9\u03b1\u03bb\u03cd\u03b5\u03c4\u03b1\u03b9.<\/p>\n<p>\u03a4\u03bf SeriesGAN \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 adversarial \u03ba\u03b1\u03b9 autoregressive \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7. \u03a3\u03c4\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ac point-wise \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03b1 \u03b2\u03c1\u03b1\u03c7\u03c5\u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03bc\u03b1 \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03c0\u03bf\u03c5 \u03ad\u03c7\u03bf\u03c5\u03bd \u03b1\u03c0\u03bf\u03bc\u03b5\u03af\u03bd\u03b5\u03b9. \u038c\u03c4\u03b1\u03bd \u03b7 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03ba\u03b1\u03c4\u03b1\u03ba\u03b5\u03c1\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7, \u03b7 \u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc context \u03c4\u03bf \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf.<\/p>\n<p>\u03a4\u03bf Temporal VAE \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 reconstruction-based baseline. \u0397 \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af encoder \u03b4\u03cd\u03bf \u03b5\u03c0\u03b9\u03c0\u03ad\u03b4\u03c9\u03bd bidirectional GRU, decoder \u03b4\u03cd\u03bf \u03b5\u03c0\u03b9\u03c0\u03ad\u03b4\u03c9\u03bd GRU, hidden dimension 64 \u03ba\u03b1\u03b9 latent dimension 32. \u039c\u03b9\u03b1 \u03b4\u03c5\u03b1\u03b4\u03b9\u03ba\u03ae \u03bc\u03ac\u03c3\u03ba\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf reconstruction loss \u03c3\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03ba\u03b5\u03bd\u03ac \u03bd\u03b1 \u03bc\u03b7 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b4\u03b9\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c4\u03c1\u03b9\u03ce\u03bd \u03bf\u03bd\u03bf\u03bc\u03ac\u03c4\u03c9\u03bd. \u0395\u03af\u03bd\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03c4\u03c1\u03b9\u03ce\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03c4\u03c1\u03cc\u03c0\u03c9\u03bd \u03bc\u03b5 \u03c4\u03bf\u03c5\u03c2 \u03bf\u03c0\u03bf\u03af\u03bf\u03c5\u03c2 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2.<\/p>\n<h2 id=\"pos-metrithike-poiotita-synthetikon-dedomenon\">\u03a0\u03ce\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd<\/h2>\n<p>\u03a4\u03bf discriminative score \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af RNN classifier \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03c0\u03b1\u03b8\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03cc \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2. \u03a3\u03c4\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ad\u03c2 \u03bc\u03bf\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf.<\/p>\n<p>\u03a4\u03bf predictive score \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae Train-on-Synthetic, Test-on-Real. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac. \u039a\u03b1\u03b9 \u03b5\u03b4\u03ce, \u03bc\u03b5 \u03c4\u03bf\u03bd \u03bf\u03c1\u03b9\u03c3\u03bc\u03cc \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf paper, \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf score \u03b8\u03b5\u03c9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf. \u039f \u03b4\u03b5\u03af\u03ba\u03c4\u03b7\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03b1\u03bd \u03c4\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03bc\u03bf\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac.<\/p>\n<p>\u03a4\u03bf t-SNE \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03cc\u03c2 \u03c4\u03c1\u03af\u03c4\u03bf\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2: \u03c0\u03c1\u03bf\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03bf\u03bb\u03c5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd clusters. \u0395\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c6\u03b1\u03bd\u03b5\u03af \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bf\u03cd\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac downstream \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ce\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7. \u0388\u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03cc dataset \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03bf\u03bd classifier \u03ba\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c3\u03b5 prediction \u03ae \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b1\u03c1\u03c1\u03b5\u03cd\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03bb\u03af\u03b3\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 \u03bc\u03bf\u03c4\u03af\u03b2\u03b1. \u0397 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03c9\u03c2 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"block-wise-apotelesmata-gt-gan\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bf\u03b9 block-wise \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2<\/h2>\n<p>\u03a3\u03c4\u03b1 block-wise \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf GT-GAN \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf predictive score \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03ba\u03b5\u03bd\u03bf\u03cd: 0,0544 \u03b3\u03b9\u03b1 k=5, 0,0457 \u03b3\u03b9\u03b1 k=10, 0,0509 \u03b3\u03b9\u03b1 k=20 \u03ba\u03b1\u03b9 0,0458 \u03b3\u03b9\u03b1 k=40. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b1\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf discriminative score \u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7. \u03a4\u03bf GT-GAN \u03ae\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03b1 k=5 \u03ba\u03b1\u03b9 k=40, \u03bc\u03b5 0,4054 \u03ba\u03b1\u03b9 0,4005. \u03a4\u03bf Temporal VAE \u03b5\u03af\u03c7\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c3\u03c4\u03b1 k=10 \u03ba\u03b1\u03b9 k=20, \u03bc\u03b5 0,3184 \u03ba\u03b1\u03b9 0,4122. \u0395\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2, \u03b7 \u03c6\u03c1\u03ac\u03c3\u03b7 \u00ab\u03c4\u03bf GT-GAN \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5\u00bb \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1: \u03ba\u03c5\u03c1\u03b9\u03ac\u03c1\u03c7\u03b7\u03c3\u03b5 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd predictive \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03b5\u03bb\u03af \u03ba\u03ac\u03b8\u03b5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1.<\/p>\n<p>\u03a4\u03b1 t-SNE plots \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1. \u03a3\u03c4\u03b1 GT-GAN samples \u03c5\u03c0\u03ae\u03c1\u03c7\u03b5 \u03c3\u03b1\u03c6\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03b9\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03bc\u03b5 \u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1, \u03b5\u03bd\u03ce SeriesGAN \u03ba\u03b1\u03b9 Temporal VAE \u03c3\u03c5\u03c7\u03bd\u03ac \u03c3\u03c7\u03b7\u03bc\u03ac\u03c4\u03b9\u03b6\u03b1\u03bd \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03cc\u03bc\u03c9\u03c2 \u03c4\u03bf t-SNE \u03b5\u03af\u03bd\u03b1\u03b9 projection, \u03b7 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b1 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ac scores.<\/p>\n<h2 id=\"point-wise-pano-apo-20\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 20% point-wise \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf 5% \u03ba\u03b1\u03b9 10% point-wise missingness, \u03c4\u03bf Temporal VAE \u03b5\u03af\u03c7\u03b5 \u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 discriminative scores, 0,4107 \u03ba\u03b1\u03b9 0,3541. \u03a4\u03bf SeriesGAN \u03b5\u03af\u03c7\u03b5 \u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 predictive scores, 0,0486 \u03ba\u03b1\u03b9 0,0488. \u03a4\u03bf GT-GAN \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03ba\u03b1\u03bb\u03ac \u03c4\u03b9\u03c2 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03c3\u03b1\u03bd \u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd.<\/p>\n<p>\u03a3\u03c4\u03bf 20%, \u03c4\u03bf GT-GAN \u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03bc\u03c0\u03c1\u03bf\u03c3\u03c4\u03ac \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b4\u03cd\u03bf \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2: discriminative 0,4409 \u03ba\u03b1\u03b9 predictive 0,0463, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,5 \u03ba\u03b1\u03b9 0,2502 \u03b3\u03b9\u03b1 SeriesGAN \u03ba\u03b1\u03b9 0,4910 \u03ba\u03b1\u03b9 0,1462 \u03b3\u03b9\u03b1 Temporal VAE. \u03a3\u03c4\u03bf 40%, \u03c4\u03bf GT-GAN \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 discriminative 0,4328 \u03ba\u03b1\u03b9 predictive 0,0502. \u03a4\u03b1 \u03ac\u03bb\u03bb\u03b1 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b1\u03bd discriminative 0,5, \u03b5\u03bd\u03ce \u03c4\u03b1 predictive scores \u03c5\u03c0\u03bf\u03c7\u03ce\u03c1\u03b7\u03c3\u03b1\u03bd \u03c3\u03b5 0,3647 \u03ba\u03b1\u03b9 0,2194.<\/p>\n<p>\u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03cc\u03c4\u03b9 \u03c4\u03b1 global sequence features \u03b2\u03bf\u03b7\u03b8\u03bf\u03cd\u03bd \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b1\u03ba\u03b5\u03c1\u03bc\u03b1\u03c4\u03b9\u03c3\u03c4\u03b5\u03af \u03c3\u03bf\u03b2\u03b1\u03c1\u03ac. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03bf 20% \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03b1\u03c4\u03ce\u03c6\u03bb\u03b9 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 dataset. \u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03ac\u03bd\u03bf\u03b9\u03be\u03b5 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03ac\u03c4\u03c9\u03bd.<\/p>\n<h2 id=\"mode-collapse-paramenei-kindynos\">\u03a4\u03bf mode collapse \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2<\/h2>\n<p>\u03a4\u03bf mode collapse \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 generator \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd \u03bc\u03bf\u03c4\u03af\u03b2\u03c9\u03bd \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2. \u0388\u03bd\u03b1 \u03c4\u03ad\u03c4\u03bf\u03b9\u03bf dataset \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u00ab\u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u00bb, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03c5\u03c0\u03bf\u03b5\u03ba\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03af \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03ae \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u2014 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b5\u03ba\u03b5\u03af\u03bd\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03c7\u03bd\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1 stress tests.<\/p>\n<p>\u03a3\u03c4\u03b1 point-wise \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 20% \u03ba\u03b1\u03b9 40%, \u03c4\u03bf SeriesGAN \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b5 \u03c3\u03bf\u03b2\u03b1\u03c1\u03ae \u03ba\u03b1\u03c4\u03ac\u03c1\u03c1\u03b5\u03c5\u03c3\u03b7: \u03c4\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03b5 \u03c3\u03c4\u03b5\u03bd\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03bc\u03b5 \u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac. \u03a4\u03bf GT-GAN \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 mode collapse, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b9\u03c3\u03b1\u03bd \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03c5\u03c4\u03ae.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c9\u03c2 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 Wasserstein loss \u03bc\u03b5 gradient penalty \u03ba\u03b1\u03b9 diversity penalty. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03c4\u03b5\u03af. \u0397 \u03c0\u03b1\u03c1\u03bf\u03cd\u03c3\u03b1 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03cc\u03c7\u03b9 \u03bb\u03cd\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1\u03c2.<\/p>\n<p>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03c4\u03b1 raw \u03ba\u03b1\u03b9 synthetic datasets, \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 sample \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03bf\u03c5\u03c1\u03ad\u03c2 \u03c4\u03b7\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2. \u03a4\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ce\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03bf\u03cd\u03c4\u03b5 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03bf\u03cd\u03c4\u03b5 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<h2 id=\"axia-gia-business-data-teams\">\u0397 \u03b1\u03be\u03af\u03b1 \u03b3\u03b9\u03b1 business data teams<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03ce\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03b5\u03c1\u03b8\u03b5\u03af \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03bf \u03c3\u03b5 e-commerce, marketing \u03ae customer support. \u03a0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03ad\u03bd\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c3\u03c7\u03ad\u03b4\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2. \u03a3\u03b5 e-commerce analytics \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03b5\u03af\u03c0\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bb\u03cc\u03b3\u03c9 outage \u03ae \u03c3\u03c0\u03bf\u03c1\u03b1\u03b4\u03b9\u03ba\u03ac events \u03bb\u03cc\u03b3\u03c9 tracking. \u03a3\u03b5 support telemetry \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03b1\u03b8\u03bf\u03cd\u03bd batches \u03ae \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b1 timestamps. \u039a\u03ac\u03b8\u03b5 \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc stress test.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03bc\u03b9\u03b1 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b1 \u03c1\u03bf\u03ae, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b9\u03c7\u03bd\u03b7\u03bb\u03b1\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac, \u03b1\u03c0\u03bf\u03ba\u03b1\u03c4\u03b5\u03c3\u03c4\u03b7\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac records. \u0397 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/fred-pos-knowledge-graphs-fotizoun-dedomena-ai\/\">FrED \u03ba\u03b1\u03b9 \u03c4\u03b1 knowledge graphs \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bf\u03c1\u03b1\u03c4\u03ae \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 AI \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03b5\u03af \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1.<\/p>\n<p>\u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03cc. \u0397 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae synthetic data \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bc\u03cc\u03bd\u03b9\u03bc\u03b7 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae\u03c2, \u03b1\u03bd\u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2 monitoring \u03ae \u03ba\u03b1\u03ba\u03ae \u03c4\u03bf\u03c0\u03bf\u03b8\u03ad\u03c4\u03b7\u03c3\u03b7 workloads. \u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/cloud-repatriation-workload-placement-strategy\/\">workload placement \u03ba\u03b1\u03b9 \u03c4\u03b1 data flows<\/a> \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af latency, data movement, dependencies \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03b5\u03af \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae.<\/p>\n<p>\u03a4\u03ad\u03bb\u03bf\u03c2, \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc baseline. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 reconstruction-based VAE \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 \u03ba\u03b5\u03bd\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ac. \u0397 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc downstream failure.<\/p>\n<h2 id=\"epta-elegchoi-prin-production\">\u0395\u03c0\u03c4\u03ac \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c3\u03b5 production<\/h2>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">Checklist \u03b3\u03b9\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ad\u03c2 \u03bc\u03b5 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 1<\/span><strong>\u03a4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc missingness<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 blocks, \u03c3\u03c0\u03bf\u03c1\u03b1\u03b4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1, \u03ba\u03bf\u03b9\u03bd\u03ac \u03c7\u03b1\u03bc\u03ad\u03bd\u03b1 features, \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03ba\u03b5\u03bd\u03bf\u03cd \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 2<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bc\u03b5\u03c4\u03ac\u03b2\u03bb\u03b7\u03c4\u03bf \u03c4\u03bf raw source<\/strong>\n<p>\u0391\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03c3\u03c4\u03b5 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03c4\u03b9\u03c2 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c4\u03b9\u03c2 imputations \u03ba\u03b1\u03b9 \u03c4\u03b1 synthetic samples \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b9\u03c7\u03bd\u03b7\u03bb\u03ac\u03c3\u03b9\u03bc\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 3<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03c0\u03bb\u03cc baseline<\/strong>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03c4\u03bf generative \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03b5 mean imputation, \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03bf\u03bb\u03ae \u03ae \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf reconstruction baseline \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03c7\u03b8\u03b5\u03af\u03c4\u03b5 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 4<\/span><strong>\u03a7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd \u03c4\u03b1 samples \u03bc\u03bf\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03b1\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf downstream task.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 5<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1<\/strong>\n<p>\u0391\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 mode collapse, \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 data augmentation.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 6<\/span><strong>\u0391\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03c4\u03b5 \u03c4\u03b1 production failure rates<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2 \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b9\u03c2 \u03b2\u03bf\u03bb\u03b9\u03ba\u03ad\u03c2 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2 \u03b5\u03bd\u03cc\u03c2 benchmark.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 7<\/span><strong>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 drift \u03ba\u03b1\u03b9 downstream \u03b2\u03bb\u03ac\u03b2\u03b5\u03c2<\/strong>\n<p>\u0395\u03c0\u03b1\u03bd\u03b1\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 fidelity, utility \u03ba\u03b1\u03b9 diversity checks \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03b7\u03b3\u03ae, \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03af\u03b1, \u03b5\u03be\u03bf\u03c0\u03bb\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ae \u03c3\u03ba\u03bf\u03c0\u03cc\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf checklist \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u0391\u03bd \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf \u03ba\u03b5\u03bd\u03cc \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9, \u03c0\u03bf\u03b9\u03bf baseline \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b1 \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af, \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03b3\u03b9\u03b1 production \u03c7\u03c1\u03ae\u03c3\u03b7.<\/p>\n<h2 id=\"oria-asynepeia-imerominion-symperasma\">\u038c\u03c1\u03b9\u03b1, \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/h2>\n<p>\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af 2.880 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bf\u03ba\u03c4\u03ce \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae. \u0394\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03af\u03b5\u03c2, \u03b5\u03c0\u03bf\u03c7\u03ad\u03c2, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b1\u03c1\u03cc\u03c7\u03bf\u03c5\u03c2 \u03ae production downstream \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae. \u0397 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b5\u03b3\u03ba\u03c5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03bd\u03bf\u03b9\u03c7\u03c4\u03cc \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03c4\u03c9\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7 \u03c3\u03c4\u03bf dataset \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd use case.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03ae\u03c2 \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03c9\u03c4\u03bf\u03b3\u03b5\u03bd\u03b5\u03af\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2. \u03a4\u03bf \u03bd\u03ad\u03bf paper \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c5\u03c0\u03bf\u03c3\u03cd\u03bd\u03bf\u03bb\u03bf Enschede \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 7\u20138 \u039f\u03ba\u03c4\u03c9\u03b2\u03c1\u03af\u03bf\u03c5 2023, \u03b5\u03bd\u03ce \u03b7 \u03b4\u03b7\u03bc\u03bf\u03c3\u03af\u03b5\u03c5\u03c3\u03b7 WetLinks \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03b7\u03bd Enschede \u03be\u03b5\u03ba\u03af\u03bd\u03b7\u03c3\u03b1\u03bd \u03c3\u03c4\u03b9\u03c2 12 \u039f\u03ba\u03c4\u03c9\u03b2\u03c1\u03af\u03bf\u03c5 2023. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b4\u03b5\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b5\u03c5\u03ba\u03c1\u03b9\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b3\u03b9\u03b1 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf: \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c4\u03bf\u03c5 paper, \u03c4\u03bf GT-GAN \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03bf\u03b2\u03b1\u03c1\u03ae, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b5\u03be\u03b1\u03bb\u03b5\u03af\u03c8\u03b5\u03b9 \u03c4\u03bf mode collapse. \u03a3\u03c4\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ac \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac, SeriesGAN \u03ba\u03b1\u03b9 Temporal VAE \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2. \u0393\u03b9\u03b1 data leaders, \u03b7 \u03bf\u03c5\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03bf\u03c5\u03bd \u03b5\u03ba \u03c4\u03c9\u03bd \u03c0\u03c1\u03bf\u03c4\u03ad\u03c1\u03c9\u03bd GT-GAN, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03bf\u03c5\u03bd \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc failure mode, \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03bf\u03c5\u03bd \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bf\u03c1\u03b1\u03c4\u03ae.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-eyebrow\">\u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03af \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 AI \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd TWO DOTS<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 data pipelines \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03ba\u03c1\u03cd\u03b2\u03bf\u03c5\u03bd \u03c4\u03b1 \u03ba\u03b5\u03bd\u03ac \u03c4\u03bf\u03c5\u03c2.<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c0\u03b7\u03b3\u03ad\u03c2, failure modes, quality gates, monitoring \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c0\u03c1\u03b9\u03bd \u03ad\u03bd\u03b1 AI workflow \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03ae \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03b5 AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ce\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ac \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae, \u03c4\u03b9\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b1\u03c0\u03bb\u03ae \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03c4\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf GT-GAN;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 generative adversarial \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03bf\u03cd \u03c3\u03ba\u03bf\u03c0\u03bf\u03cd \u03b3\u03b9\u03b1 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b1\u03ba\u03b1\u03bd\u03cc\u03bd\u03b9\u03c3\u03c4\u03c9\u03bd \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ce\u03bd, \u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 autoencoder \u03ba\u03b1\u03b9 GAN \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac block-wise \u03ba\u03b1\u03b9 point-wise missingness;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf block-wise \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03c3\u03c5\u03bd\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1, \u03b5\u03bd\u03ce \u03c4\u03bf point-wise \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03c3\u03c0\u03bf\u03c1\u03b1\u03b4\u03b9\u03ba\u03ad\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c4\u03b9\u03b3\u03bc\u03ad\u03c2 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0389\u03c4\u03b1\u03bd \u03c4\u03bf GT-GAN \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a3\u03c4\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ac point-wise \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03c4\u03bf Temporal VAE \u03ba\u03b1\u03b9 \u03c4\u03bf SeriesGAN \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 scores. \u03a4\u03bf GT-GAN \u03be\u03b5\u03c7\u03ce\u03c1\u03b9\u03c3\u03b5 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 20% \u03ba\u03b1\u03b9 40%.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03c4\u03b1 discriminative \u03ba\u03b1\u03b9 predictive scores;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf discriminative score \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u03a4\u03bf predictive score \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac samples \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03be\u03ac\u03bb\u03b5\u03b9\u03c8\u03b5 \u03c4\u03bf GT-GAN \u03c4\u03bf mode collapse;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf mode collapse \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf GT-GAN \u03c3\u03b5 \u03c5\u03c8\u03b7\u03bb\u03ae point-wise \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1, \u03b1\u03bb\u03bb\u03ac \u03ae\u03c4\u03b1\u03bd \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03c1\u03bf\u03c6\u03b9\u03ba\u03cc \u03b1\u03c0\u03cc \u03b5\u03ba\u03b5\u03af\u03bd\u03bf \u03c4\u03bf\u03c5 SeriesGAN \u03c3\u03c4\u03b1 t-SNE plots \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03bf\u03cd\u03bd \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03ad\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae. \u03a4\u03bf ranking \u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c5\u03c0\u03bf\u03c3\u03cd\u03bd\u03bf\u03bb\u03bf WetLinks \u03ba\u03b1\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03c4\u03b5\u03af \u03bc\u03b5 \u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2, baselines \u03ba\u03b1\u03b9 downstream tasks \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2607.24790\" target=\"_blank\" rel=\"noopener\">Shi &amp; Hu: A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2402.16448\" target=\"_blank\" rel=\"noopener\">Laniewski et al.: WetLinks \u2014 A Large-Scale Longitudinal Starlink Dataset with Contiguous Weather Data<\/a><\/li>\n<li><a href=\"https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/hash\/f03ce573aa8bce26f77b76f1cb9ee979-Abstract-Conference.html\" target=\"_blank\" rel=\"noopener\">Jeon et al.: GT-GAN \u2014 General Purpose Time Series Synthesis with Generative Adversarial Networks<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2410.21203\" target=\"_blank\" rel=\"noopener\">EskandariNasab, Hamdi &amp; Filali Boubrahimi: SeriesGAN \u2014 Time Series Generation via Adversarial and Autoregressive Learning<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u039d\u03ad\u03b1 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 GT-GAN, SeriesGAN \u03ba\u03b1\u03b9 Temporal VAE \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03bf\u03cd internet. \u03a4\u03bf GT-GAN \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03b7 \u03c3\u03bf\u03b2\u03b1\u03c1\u03ae \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03bb\u03b5\u03af\u03c6\u03b5\u03b9 \u03c4\u03bf mode collapse.<\/p>","protected":false},"author":1,"featured_media":87761,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[18989,18985,18986,18987,18988],"class_list":["post-87636","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-data-augmentation","tag-gt-gan","tag-doryforiko-internet","tag-synthetika-dedomena","tag-chronoseires"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/87636","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=87636"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/87636\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/87761"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=87636"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=87636"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=87636"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}