{"id":"W7124323873","doi":"10.65109/ondy7628","title":"Lyapunov Exponents for Diversity in Differentiable Games","year":2022,"lang":"","type":"article","venue":"","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hessian matrix; Differentiable function; Bifurcation; Dynamical systems theory; Field (mathematics); Construct (python library); Eigenvalues and eigenvectors; Lyapunov exponent","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283965,0.0008157965,0.0006999629,0.001329613,0.0007831716,0.001383567,0.000770935,0.0009461422,0.005355602],"category_scores_gemma":[0.01018612,0.0003344456,0.0005829908,0.000434358,0.001705829,0.001673988,0.001600866,0.00194985,0.0006066057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306323,"about_ca_system_score_gemma":0.0006815049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009744365,"about_ca_topic_score_gemma":0.0009021337,"domain_scores_codex":[0.9996389,0.0001586241,0.0000200552,0.0000515025,0.00007968774,0.0000512511],"domain_scores_gemma":[0.9966365,0.002123465,0.0004608839,0.0001524684,0.0003140393,0.0003127032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004744478,0.00003305131,0.001134068,0.0001051202,0.00003488078,0.0001718729,0.0002921531,0.2399801,0.002685185,0.7386686,0.003439746,0.01340781],"study_design_scores_gemma":[0.00001637806,0.00002413421,0.0002511495,0.00003113616,0.00000533175,0.00003969722,0.0000424731,0.7051486,0.0002892518,0.2928622,0.001273608,0.00001613343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1314822,0.00161398,0.8329738,0.002757529,0.0002030414,0.0001207416,0.0001721799,0.0003639678,0.03031258],"genre_scores_gemma":[0.944328,0.0009276171,0.04350272,0.0002545972,0.0001626983,0.000282609,0.0001045899,0.0001643471,0.01027293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005355602,"threshold_uncertainty_score":0.01791626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04683067156096268,"score_gpt":0.2536158838772665,"score_spread":0.2067852123163038,"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."}}