ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.17075
  4. Cited By
Interaction-Force Transport Gradient Flows

Interaction-Force Transport Gradient Flows

27 May 2024
E. Gladin
Pavel Dvurechensky
Alexander Mielke
Jia Jie Zhu
    OT
ArXivPDFHTML

Papers citing "Interaction-Force Transport Gradient Flows"

11 / 11 papers shown
Title
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals
Alexander Mielke
Jia Jie Zhu
135
2
0
28 Jan 2025
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
Viktor Stein
Sebastian Neumayer
Gabriele Steidl
Nicolaj Rux
99
10
0
07 Feb 2024
A blob method for inhomogeneous diffusion with applications to
  multi-agent control and sampling
A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling
Katy Craig
Karthik Elamvazhuthi
M. Haberland
O. Turanova
68
15
0
25 Feb 2022
Kernel Stein Discrepancy Descent
Kernel Stein Discrepancy Descent
Anna Korba
Pierre-Cyril Aubin-Frankowski
Szymon Majewski
Pierre Ablin
51
52
0
20 May 2021
Estimating Barycenters of Measures in High Dimensions
Estimating Barycenters of Measures in High Dimensions
Samuel N. Cohen
Michael Arbel
M. Deisenroth
136
24
0
14 Jul 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared
  divergence
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
Sinho Chewi
Thibaut Le Gouic
Chen Lu
Tyler Maunu
Philippe Rigollet
83
69
0
03 Jun 2020
Interpolating between Optimal Transport and MMD using Sinkhorn
  Divergences
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy
Thibault Séjourné
François-Xavier Vialard
S. Amari
A. Trouvé
Gabriel Peyré
OT
55
527
0
18 Oct 2018
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
65
1,091
0
16 Aug 2016
Provable Bayesian Inference via Particle Mirror Descent
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai
Niao He
H. Dai
Le Song
106
73
0
09 Jun 2015
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle
  Filtering
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien
Fredrik Lindsten
Francis R. Bach
113
82
0
09 Jan 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
203
4,258
0
04 Jun 2013
1