Mihai Nica

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Boris HaninAssistant Professor, Princeton ORFEVerified email at princeton.edu
Gerard BEN AROUSProfessor of Mathematics, NYU Shanghai and Courant Institute of Mathematical Sciences, New YorkVerified email at nyu.edu
Andrea MontanariProfessor of Statistics and Mathematics, Stanford UniversityVerified email at stanford.edu
Song MeiAssistant Professor at UC BerkeleyVerified email at berkeley.edu
Mufan (Bill) LiPrinceton UniversityVerified email at princeton.edu
Balint ViragUniversity of TorontoVerified email at math.toronto.edu
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)Verified email at utoronto.ca
Adam StinchcombeAssociate Professor of Mathematics, University of TorontoVerified email at math.toronto.edu
Daniel RemenikUniversidad de ChileVerified email at dim.uchile.cl
Jeremy QuastelProfessor of Mathematics, University of TorontoVerified email at math.toronto.edu
Griffin FlotoUniversity of TorontoVerified email at mail.utoronto.ca
Jihun HanDartmouth CollegeVerified email at dartmouth.edu
Ivan CorwinColumbia UniversityVerified email at columbia.edu
Yani IoannouAssistant Professor, Schulich Research Chair, University of CalgaryVerified email at ucalgary.ca
Graham TaylorUniversity of Guelph and Vector Institute for Artificial IntelligenceVerified email at uoguelph.ca
Stefan C. KremerSchool of Computer Science, University of GuelphVerified email at kremer.ca
Utku EvciResearcher @Google DeepmindVerified email at nyu.edu
Mike LasbyUniversity of CalgaryVerified email at ucalgary.ca
Julia CostacurtaPhD Student, Stanford UniversityVerified email at stanford.edu
Cameron MartinUniversity of TorontoVerified email at mail.utoronto.ca

Mihai Nica

University of Guelph

Verified email at uoguelph.ca - Homepage

Stochastic Processes Random Matrices Machine Learning


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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	9	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

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