{"id":"W2908176537","doi":"","title":"STOCHASTIC GRADIENT LANGEVIN DYNAMICS THAT EXPLOIT NEURAL NETWORK STRUCTURE","year":2018,"lang":"en","type":"article","venue":"International Conference on Learning Representations","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Langevin dynamics; Exploit; Computer science; Artificial neural network; Dynamics (music); Statistical physics; Langevin equation; Artificial intelligence; Physics","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":[0.0006904783,0.0005660939,0.0008443032,0.0004001271,0.0004002794,0.0009884142,0.001159399,0.001418218,0.002772211],"category_scores_gemma":[0.002652388,0.0004777723,0.0005413236,0.0004271745,0.001009733,0.001699492,0.001390734,0.001595237,0.0003974504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006603465,"about_ca_system_score_gemma":0.0008072309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743258,"about_ca_topic_score_gemma":0.002486574,"domain_scores_codex":[0.9998536,0.00004745358,0.000006246795,0.0000224027,0.00005031867,0.00002005371],"domain_scores_gemma":[0.9994171,0.0002961573,0.00005985711,0.00006327201,0.00009607019,0.00006772771],"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":[0.00004715104,0.00006544252,0.0004042109,0.00005209811,0.00004574405,0.00007129319,0.00005431013,0.6873221,0.003101622,0.29302,0.001735068,0.0140808],"study_design_scores_gemma":[0.000003445308,0.000004996984,0.0000213929,0.000001817143,0.000001810556,0.000005778119,0.000002261389,0.9834714,0.000114393,0.01612896,0.0002403644,0.000003386004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04843853,0.0003553477,0.9399002,0.0008102317,0.0003910808,0.00004665337,0.00007471415,0.0002558026,0.009727491],"genre_scores_gemma":[0.8449886,0.0006580426,0.1326717,0.000308926,0.0001983788,0.0001501666,0.0001833951,0.0002952629,0.02054547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002772211,"threshold_uncertainty_score":0.009273946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04822018521992996,"score_gpt":0.3171347456967895,"score_spread":0.2689145604768595,"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."}}