{"id":"W2768910279","doi":"10.48550/arxiv.1711.06020","title":"Global versus Localized Generative Adversarial Nets","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Manifold (fluid mechanics); Tangent space; Subspace topology; Generator (circuit theory); Mathematics; Manifold alignment; Classifier (UML); Topology (electrical circuits); Tangent; Computer science; Locality; Orthonormality; Artificial intelligence; Algorithm; Nonlinear dimensionality reduction; Geometry; Orthonormal basis; Combinatorics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008688929,0.0009737149,0.0007347672,0.0002844878,0.0001953198,0.0006252502,0.001098327,0.000817715,0.002435576],"category_scores_gemma":[0.002451155,0.0002872172,0.0005435339,0.0003023669,0.001197605,0.001207856,0.001351788,0.001812123,0.0006237655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005247596,"about_ca_system_score_gemma":0.0003349935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007699644,"about_ca_topic_score_gemma":0.00122268,"domain_scores_codex":[0.9995601,0.0001594413,0.00001354404,0.0001400731,0.00008179414,0.00004514504],"domain_scores_gemma":[0.9990872,0.0005638701,0.00008032959,0.0001687107,0.00005936909,0.00004058385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001092811,0.00003892104,0.0007374624,0.00007753783,0.00005517191,0.0001017947,0.00005406476,0.899514,0.004608237,0.04323483,0.002325789,0.04914293],"study_design_scores_gemma":[0.000004889283,0.00002456376,0.0000946022,0.000007213801,0.000006348732,0.00002953025,0.000005709025,0.9826198,0.001164953,0.01527069,0.0007667899,0.000004963759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01265627,0.0003262537,0.983978,0.0002964709,0.00003246213,0.00002436993,0.0000784943,0.0004783644,0.002129291],"genre_scores_gemma":[0.8456292,0.0006054828,0.1436321,0.0005195705,0.000135261,0.0001364282,0.0004702513,0.0002920664,0.008579674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002435576,"threshold_uncertainty_score":0.008147776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08737791151025937,"score_gpt":0.2194203505936257,"score_spread":0.1320424390833663,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}