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Deep learning generalizes because the parameter-function map is biased towards simple functions.

, , and . ICLR (Poster), OpenReview.net, (2019)

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Deep learning generalizes because the parameter-function map is biased towards simple functions., , and . ICLR (Poster), OpenReview.net, (2019)Deep learning generalizes because the parameter-function map is biased towards simple functions., , and . CoRR, (2018)Generalization bounds for deep learning., and . CoRR, (2020)Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes., , , and . AAAI, page 11856-11864. AAAI Press, (2024)Is SGD a Bayesian sampler? Well, almost., , , and . J. Mach. Learn. Res., (2021)TacoxDNA: A user-friendly web server for simulations of complex DNA structures, from single strands to origami., , , , , , , , and . J. Comput. Chem., 40 (29): 2586-2595 (2019)Genetic Correlations Greatly Increase Mutational Robustness and Can Both Reduce and Enhance Evolvability., , , and . PLoS Comput. Biol., (2016)Modelling the Self-Assembly of Virus Capsids, , and . (2009)cite arxiv:0910.1916Comment: 16 pages, 11 figures.Neural networks are a priori biased towards Boolean functions with low entropy., , , , , and . CoRR, (2019)Double-descent curves in neural networks: a new perspective using Gaussian processes., , and . CoRR, (2021)