A review of neural architecture search D Baymurzina, E Golikov, M Burtsev Neurocomputing 474, 82-93, 2022 | 62 | 2022 |
Two-jet astrosphere model: effect of azimuthal magnetic field EA Golikov, VV Izmodenov, DB Alexashov, NA Belov Monthly Notices of the Royal Astronomical Society 464 (1), 1065-1076, 2017 | 16 | 2017 |
Differentiable lower bound for expected BLEU score V Zhukov, E Golikov, M Kretov arXiv preprint arXiv:1712.04708, 2017 | 15 | 2017 |
Feature Learning in -regularized DNNs: Attraction/Repulsion and Sparsity A Jacot, E Golikov, C Hongler, F Gabriel Advances in Neural Information Processing Systems 35, 6763-6774, 2022 | 9 | 2022 |
Neural tangent kernel: A survey E Golikov, E Pokonechnyy, V Korviakov arXiv preprint arXiv:2208.13614, 2022 | 9 | 2022 |
Towards a general theory of infinite-width limits of neural classifiers E Golikov International Conference on Machine Learning, 3617-3626, 2020 | 9 | 2020 |
Dynamically stable infinite-width limits of neural classifiers EA Golikov arXiv preprint arXiv:2006.06574, 2020 | 8 | 2020 |
Two-jet structure of the flow produced by magnetized hypersonic spherical source into the steady unmagnetized medium EA Golikov, VV Izmodenov, DB Alexashov Journal of Physics: Conference Series 815 (1), 012035, 2017 | 8 | 2017 |
Non-gaussian tensor programs E Golikov, G Yang Advances in Neural Information Processing Systems 35, 21521-21533, 2022 | 7 | 2022 |
Notes on Deep Learning Theory EA Golikov arXiv preprint arXiv:2012.05760, 2020 | 1 | 2020 |
Quadratic number of nodes is sufficient to learn a dataset via gradient descent B Das, E Golikov arXiv preprint arXiv:1911.05402, 2019 | 1 | 2019 |
An Essay on Optimization Mystery of Deep Learning E Golikov arXiv preprint arXiv:1905.07187, 2019 | | 2019 |
Embedding-reparameterization procedure for manifold-valued latent variables in generative models E Golikov, M Kretov arXiv preprint arXiv:1812.02769, 2018 | | 2018 |
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model E Golikov, V Zhukov, M Kretov arXiv preprint arXiv:1711.07724, 2017 | | 2017 |
Infinitely Wide Nets E Golikov | | |
Towards a General Theory of Infinite-Width Limits of Neural Classifiers: Supplementary Material EA Golikov | | |