Finite depth and width corrections to the neural tangent kernel B Hanin, M Nica ICLR 2020, 2020 | 161 | 2020 |
The landscape of the spiked tensor model GB Arous, S Mei, A Montanari, M Nica Communications on Pure and Applied Mathematics 72 (11), 2282-2330, 2019 | 124 | 2019 |
Products of many large random matrices and gradients in deep neural networks B Hanin, M Nica Communications in Mathematical Physics 376, 287–322, 2020 | 80 | 2020 |
A derivative-free method for solving elliptic partial differential equations with deep neural networks J Han, M Nica, AR Stinchcombe Journal of Computational Physics 419, 2020 | 54 | 2020 |
Uniform convergence to the Airy line ensemble D Dauvergne, M Nica, B Virág Annales de l’Institut Henri Poincare (B) Probabilites et Statistiques 59 (4 …, 2023 | 38* | 2023 |
One-sided reflected Brownian motions and the KPZ fixed point M Nica, J Quastel, D Remenik Forum of Mathematics, Sigma 8, e63, 2020 | 37 | 2020 |
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization M Li, M Nica, D Roy Advances in Neural Information Processing Systems 34, 7852-7864, 2021 | 34 | 2021 |
The neural covariance SDE: Shaped infinite depth-and-width networks at initialization M Li, M Nica, D Roy Advances in Neural Information Processing Systems 35, 10795-10808, 2022 | 33 | 2022 |
Intermediate disorder directed polymers and the multi-layer extension of the stochastic heat equation I Corwin, M Nica Electronic Journal of Probability 22, 1-49, 2017 | 26 | 2017 |
Intermediate disorder limits for multi-layer semi-discrete directed polymers M Nica Electronic Journal of Probability 26, 1-50, 2021 | 23 | 2021 |
Eigenvalues and Eigenfunctions of the Laplacian M Nica The Waterloo Mathematics Review 1 (2), 23-34, 2011 | 14 | 2011 |
RSK in last passage percolation: a unified approach D Dauvergne, M Nica, B Virág Probability Surveys 19, 65-112, 2022 | 8 | 2022 |
Solution of the Kolmogorov equation for TASEP M Nica, J Quastel, D Remenik Annals of Probability, 2020 | 8 | 2020 |
Dynamic Sparse Training with Structured Sparsity M Lasby, A Golubeva, U Evci, M Nica, Y Ioannou arXiv preprint arXiv:2305.02299, 2023 | 7 | 2023 |
The tilted variational autoencoder: Improving out-of-distribution detection G Floto, S Kremer, M Nica The Eleventh International Conference on Learning Representations, 2023 | 7 | 2023 |
Solving elliptic equations with Brownian motion: bias reduction and temporal difference learning C Martin, H Zhang, J Costacurta, M Nica, AR Stinchcombe Methodology and Computing in Applied Probability 24 (3), 1603-1626, 2022 | 6 | 2022 |
Diffusion on the probability simplex G Floto, T Jonsson, M Nica, S Sanner, EZ Zhu arXiv preprint arXiv:2309.02530, 2023 | 5 | 2023 |
Optimal Strategy in "Guess Who?": Beyond Binary Search M Nica Probability in the Engineering and Informational Sciences 30 (4), 576-592, 2016 | 5 | 2016 |
Depth degeneracy in neural networks: Vanishing angles in fully connected relu networks on initialization C Jakub, M Nica arXiv preprint arXiv:2302.09712, 2023 | 4 | 2023 |
Bounding generalization error with input compression: An empirical study with infinite-width networks A Galloway, A Golubeva, M Salem, M Nica, Y Ioannou, GW Taylor Transactions on Machine Learning Research 12, 2022 | 4 | 2022 |