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Riemannian Convex Potential Maps

Riemannian Convex Potential Maps

18 June 2021
Samuel N. Cohen
Brandon Amos
Y. Lipman
ArXivPDFHTML

Papers citing "Riemannian Convex Potential Maps"

12 / 12 papers shown
Title
On a Neural Implementation of Brenier's Polar Factorization
On a Neural Implementation of Brenier's Polar Factorization
Nina Vesseron
Marco Cuturi
45
2
0
05 Mar 2024
The Monge Gap: A Regularizer to Learn All Transport Maps
The Monge Gap: A Regularizer to Learn All Transport Maps
Théo Uscidda
Marco Cuturi
OT
55
26
0
09 Feb 2023
Rigid Body Flows for Sampling Molecular Crystal Structures
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler
Michele Invernizzi
P. D. Haan
Frank Noé
AI4CE
39
27
0
26 Jan 2023
Conformal Mirror Descent with Logarithmic Divergences
Conformal Mirror Descent with Logarithmic Divergences
Amanjit Kainth
Ting-Kam Leonard Wong
Frank Rudzicz
26
4
0
07 Sep 2022
Spherical Sliced-Wasserstein
Spherical Sliced-Wasserstein
Clément Bonet
P. Berg
Nicolas Courty
Françcois Septier
Lucas Drumetz
Minh Pham
30
27
0
17 Jun 2022
Meta Optimal Transport
Meta Optimal Transport
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
29
22
0
10 Jun 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
31
44
0
17 Mar 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
119
95
0
10 Dec 2020
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
131
100
0
28 Sep 2019
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
141
611
0
05 Mar 2017
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
599
0
22 Sep 2016
1