Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation

von Vacher, Adrien
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 30 of 50 (2023)

On global convergence of ResNets: From finite to infinite width using linear parameterization

von Barboni, Raphaël
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)

REGION-SPECIFIC DIFFEOMORPHIC METRIC MAPPING

von Shen, Zhengyang
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20 (2020)

The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation

von Sejourne, Thibault
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)

A SHOOTING FORMULATION OF DEEP LEARNING

von Vialard, Francois-Xavier
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence

von Chizat, Lénaïc
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 3 of 27 (2021)