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Trajectory Inference via Mean-field Langevin in Path Space

Trajectory Inference via Mean-field Langevin in Path Space

14 May 2022
Lénaïc Chizat
Stephen X. Zhang
Matthieu Heitz
Geoffrey Schiebinger
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Papers citing "Trajectory Inference via Mean-field Langevin in Path Space"

14 / 14 papers shown
Title
Mirror Mean-Field Langevin Dynamics
Mirror Mean-Field Langevin Dynamics
Anming Gu
Juno Kim
31
0
0
05 May 2025
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong
Yuliang Shi
Jonathan Niles-Weed
38
0
0
01 Mar 2025
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
Vincent Guan
Joseph Janssen
Hossein Rahmani
Andrew Warren
Stephen X. Zhang
Elina Robeva
Geoffrey Schiebinger
DiffM
41
2
0
30 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Zhenyi Zhang
Tiejun Li
Peijie Zhou
OT
143
5
0
01 Oct 2024
Plug-in estimation of Schrödinger bridges
Plug-in estimation of Schrödinger bridges
Aram-Alexandre Pooladian
Jonathan Niles-Weed
DiffM
OT
43
1
0
21 Aug 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu
Edward Chien
Kristjan Greenewald
44
4
0
11 Jun 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion
  Processes
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes
Haoming Yang
Ali Hasan
Yuting Ng
Vahid Tarokh
DiffM
37
4
0
15 Apr 2024
Minimizing Convex Functionals over Space of Probability Measures via KL
  Divergence Gradient Flow
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
Rentian Yao
Linjun Huang
Yun Yang
21
3
0
01 Nov 2023
Stochastic force inference via density estimation
Stochastic force inference via density estimation
Victor Chardès
S. Maddu
Michael J. Shelley
DiffM
11
3
0
03 Oct 2023
Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm
Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm
Nabarun Deb
Young-Heon Kim
Soumik Pal
Geoffrey Schiebinger
16
12
0
31 Jul 2023
Deep Momentum Multi-Marginal Schrödinger Bridge
Deep Momentum Multi-Marginal Schrödinger Bridge
T. Chen
Guan-Horng Liu
Molei Tao
Evangelos A. Theodorou
25
9
0
03 Mar 2023
Action Matching: Learning Stochastic Dynamics from Samples
Action Matching: Learning Stochastic Dynamics from Samples
Kirill Neklyudov
Rob Brekelmans
Daniel de Souza Severo
Alireza Makhzani
19
41
0
13 Oct 2022
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
59
64
0
25 Jan 2022
Towards a mathematical theory of trajectory inference
Towards a mathematical theory of trajectory inference
Hugo Lavenant
Stephen X. Zhang
Young-Heon Kim
Geoffrey Schiebinger
21
40
0
18 Feb 2021
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