Lénaïc Chizat
Lénaïc Chizat
CNRS - Laboratoire de Mathématiques d'Orsay
Verified email at ens.fr - Homepage
Cited by
Cited by
On the global convergence of gradient descent for over-parameterized models using optimal transport
L Chizat, F Bach
Advances in Neural Information Processing Systems, 3036-3046, 2018
On Lazy Training in Differentiable Programming
L Chizat, E Oyallon, F Bach
Advances in Neural Information Processing Systems, 2937-2947, 2019
Scaling algorithms for unbalanced optimal transport problems
L Chizat, G Peyré, B Schmitzer, FX Vialard
Mathematics of Computation 87 (314), 2563–2609, 2018
An interpolating distance between optimal transport and Fisher–Rao metrics
L Chizat, G Peyré, B Schmitzer, FX Vialard
Foundations of Computational Mathematics 18 (1), 1-44, 2018
Unbalanced optimal transport: Dynamic and Kantorovich formulations
L Chizat, G Peyré, B Schmitzer, FX Vialard
Journal of Functional Analysis 274 (11), 3090-3123, 2018
Sample complexity of Sinkhorn divergences
A Genevay, L Chizat, F Bach, M Cuturi, G Peyré
International Conference on Artificial Intelligence and Statistics, 1574-1583, 2019
Implicit bias of gradient descent for wide two-layer neural networks trained with the logistic loss
L Chizat, F Bach
Proceedings of Thirty Third Conference on Learning Theory 125, 1305-1338, 2020
Sparse optimization on measures with over-parameterized gradient descent
L Chizat
Mathematical Programming, 1-46, 2021
Quantum entropic regularization of matrix-valued optimal transport
G Peyré, L Chizat, FX Vialard, J Solomon
European Journal of Applied Mathematics 30 (6), 1079-1102, 2019
Overrelaxed Sinkhorn–Knopp Algorithm for Regularized Optimal Transport
A Thibault, L Chizat, C Dossal, N Papadakis
Algorithms 14 (5), 143, 2021
A tumor growth model of Hele-Shaw type as a gradient flow
S Di Marino, L Chizat
ESAIM: Control, Optimisation and Calculus of Variations 26, 103, 2020
Unbalanced Optimal Transport: Models, Numerical Methods, Applications
L Chizat
Université Paris Dauphine - PSL, 2017
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
L Chizat, P Roussillon, F Léger, FX Vialard, G Peyré
Advances in Neural Information Processing Systems 33, 2020
Statistical and topological properties of sliced probability divergences
K Nadjahi, A Durmus, L Chizat, S Kolouri, S Shahrampour, U Şimşekli
arXiv preprint arXiv:2003.05783, 2020
HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models
JL Peyrot, L Duval, F Payan, L Bouard, L Chizat, S Schneider, M Antonini
Computational Geosciences, 2019
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