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Learning may need only a few bits of synaptic precision, , , , и . (2016)cite arxiv:1602.04129Comment: 38 pages (main text: 16 pages), 5 figures; http://link.aps.org/doi/10.1103/PhysRevE.93.052313.Entropic gradient descent algorithms and wide flat minima., , , , , , и . ICLR, OpenReview.net, (2021)A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure., , , , и . Manag. Sci., 66 (11): 5075-5093 (2020)Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs.. CoRR, (2019)Shaping the learning landscape in neural networks around wide flat minima., , и . CoRR, (2019)Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 17759-17781. PMLR, (2022)Entropy-SGD: Biasing Gradient Descent Into Wide Valleys, , , , , , , , и . (2016)cite arxiv:1611.01838Comment: ICLR '17.Entropy-SGD: Biasing Gradient Descent Into Wide Valleys., , , , , , , , и . ICLR (Poster), OpenReview.net, (2017)Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases., , , , , , , и . Pacific Symposium on Biocomputing, стр. 39-50. (2014)Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes, , , , , , и . (2016)cite arxiv:1605.06444Comment: 31 pages (14 main text, 18 appendix), 12 figures (6 main text, 6 appendix).