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Publication search results
found 14 matches
- 2024
- Eugene Golikov:
A Generalization Bound for Nearly-Linear Networks. CoRR abs/2407.06765 (2024) - 2022
- Dilyara Baymurzina, Eugene A. Golikov, Mikhail Burtsev:
A review of neural architecture search. Neurocomputing 474: 82-93 (2022) - Eugene Golikov, Greg Yang:
Non-Gaussian Tensor Programs. NeurIPS 2022 - Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel:
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity. NeurIPS 2022 - Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel:
Feature Learning in L2-regularized DNNs: Attraction/Repulsion and Sparsity. CoRR abs/2205.15809 (2022) - Eugene Golikov, Eduard Pokonechnyy, Vladimir Korviakov:
Neural Tangent Kernel: A Survey. CoRR abs/2208.13614 (2022) - 2020
- Eugene A. Golikov:
Towards a General Theory of Infinite-Width Limits of Neural Classifiers. ICML 2020: 3617-3626 - Eugene A. Golikov:
Towards a General Theory of Infinite-Width Limits of Neural Classifiers. CoRR abs/2003.05884 (2020) - Eugene A. Golikov:
Dynamically Stable Infinite-Width Limits of Neural Classifiers. CoRR abs/2006.06574 (2020) - Eugene A. Golikov:
Notes on Deep Learning Theory. CoRR abs/2012.05760 (2020) - 2019
- Eugene A. Golikov:
An Essay on Optimization Mystery of Deep Learning. CoRR abs/1905.07187 (2019) - Biswarup Das, Eugene A. Golikov:
Quadratic number of nodes is sufficient to learn a dataset via gradient descent. CoRR abs/1911.05402 (2019) - 2018
- Eugene A. Golikov, Maksim Kretov:
Embedding-reparameterization procedure for manifold-valued latent variables in generative models. CoRR abs/1812.02769 (2018) - 2017
- Eugene A. Golikov, Vlad Zhukov, Maksim Kretov:
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model. CoRR abs/1711.07724 (2017)
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