{"id":"W4402980702","doi":"10.1109/otcon60325.2024.10687503","title":"Benign Non-Convex Optimization Techniques for Training Neuro-Inspired Architectures","year":2024,"lang":"en","type":"article","venue":"","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Artificial intelligence; Training (meteorology); Convex optimization; Regular polygon; Machine learning; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008977696,0.0001781141,0.0001582753,0.0002671334,0.00004810777,0.00007169774,0.0001198019,0.0001182067,0.0001058012],"category_scores_gemma":[0.00004338389,0.0001811032,0.00006921295,0.0002249148,0.0000283921,0.00009708337,0.00001407288,0.0001464326,0.000005206864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003448701,"about_ca_system_score_gemma":0.00001618337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000158646,"about_ca_topic_score_gemma":0.00000148905,"domain_scores_codex":[0.9992389,0.000006234281,0.000216231,0.0002141518,0.00007078964,0.0002537073],"domain_scores_gemma":[0.9996207,0.0001438499,0.000009097843,0.0001502176,0.00002371292,0.00005236146],"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":[0.000001885178,0.000002047624,0.000003753627,0.0001057437,0.00003061988,0.000002829987,0.0003986161,0.9867575,0.001581642,0.001147135,0.001189675,0.008778624],"study_design_scores_gemma":[0.00008359967,0.00002752511,0.00001032751,0.0000355008,0.00001542136,0.00001491233,0.00003455619,0.984212,0.0097885,0.0001945037,0.005387745,0.0001953876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007067974,0.0001720442,0.9865251,0.0001867413,0.0007349681,0.0003546597,0.00001176536,0.004443703,0.006864215],"genre_scores_gemma":[0.5971919,0.00002528172,0.4019254,0.0000921216,0.0002238053,0.0001982012,0.00002669145,0.000109583,0.0002070231],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5964851,"threshold_uncertainty_score":0.7385172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038937241194664,"score_gpt":0.2280820998389117,"score_spread":0.2176927274269651,"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."}}