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2412.07081
Cited By
Sequential Controlled Langevin Diffusions
10 December 2024
Junhua Chen
Lorenz Richter
Julius Berner
Denis Blessing
Gerhard Neumann
A. Anandkumar
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Papers citing
"Sequential Controlled Langevin Diffusions"
28 / 28 papers shown
Title
Discrete Neural Flow Samplers with Locally Equivariant Transformer
Zijing Ou
Ruixiang Zhang
Yingzhen Li
50
0
0
23 May 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J. Havens
Benjamin Kurt Miller
Bing Yan
Carles Domingo-Enrich
Anuroop Sriram
...
Brandon Amos
Brian Karrer
Xiang Fu
Guan-Horng Liu
Ricky T. Q. Chen
DiffM
111
2
0
16 Apr 2025
Improving the evaluation of samplers on multi-modal targets
Louis Grenioux
Maxence Noble
Marylou Gabrié
359
0
0
11 Apr 2025
Single-Step Consistent Diffusion Samplers
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
121
0
0
17 Feb 2025
Training Neural Samplers with Reverse Diffusive KL Divergence
Wenlin Chen
Jiajun He
Mingtian Zhang
David Barber
José Miguel Hernández-Lobato
DiffM
79
7
0
16 Oct 2024
NETS: A Non-Equilibrium Transport Sampler
M. S. Albergo
Eric Vanden-Eijnden
DiffM
91
20
0
03 Oct 2024
Importance Corrected Neural JKO Sampling
Johannes Hertrich
Robert Gruhlke
80
2
0
29 Jul 2024
Amortizing intractable inference in diffusion models for vision, language, and control
S. Venkatraman
Moksh Jain
Luca Scimeca
Minsu Kim
Marcin Sendera
...
Alexandre Adam
Jarrid Rector-Brooks
Yoshua Bengio
Glen Berseth
Nikolay Malkin
116
30
0
31 May 2024
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
Dinghuai Zhang
Ricky Tian Qi Chen
Cheng-Hao Liu
Aaron C. Courville
Yoshua Bengio
58
46
0
04 Oct 2023
Improved sampling via learned diffusions
Lorenz Richter
Julius Berner
DiffM
62
60
0
03 Jul 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Luhuan Wu
Brian L. Trippe
C. A. Naesseth
David M. Blei
John P. Cunningham
DiffM
75
94
0
30 Jun 2023
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong
Kilian Fatras
Nikolay Malkin
G. Huguet
Yanlei Zhang
Jarrid Rector-Brooks
Guy Wolf
Yoshua Bengio
OOD
DiffM
OT
95
288
0
01 Feb 2023
An optimal control perspective on diffusion-based generative modeling
Julius Berner
Lorenz Richter
Karen Ullrich
DiffM
101
91
0
02 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung
Jeongsol Kim
Michael T. McCann
M. Klasky
J. C. Ye
DiffM
98
830
0
29 Sep 2022
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
Vincent Stimper
G. Simm
Bernhard Schölkopf
José Miguel Hernández-Lobato
80
90
0
03 Aug 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung
Byeongsu Sim
Dohoon Ryu
J. C. Ye
DiffM
MedIm
92
454
0
02 Jun 2022
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing
Gabriele Corso
Jeffrey Chang
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
73
271
0
01 Jun 2022
Path Integral Sampler: a stochastic control approach for sampling
Qinsheng Zhang
Yongxin Chen
DiffM
73
113
0
30 Nov 2021
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods
Marylou Gabrié
Grant M. Rotskoff
Eric Vanden-Eijnden
41
21
0
16 Jul 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner
Justin Domke
66
36
0
08 Jul 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
93
461
0
01 Jun 2021
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
302
6,409
0
26 Nov 2020
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
85
68
0
23 Jul 2020
Stochastic Normalizing Flows
Hao Wu
Jonas Köhler
Frank Noé
110
184
0
16 Feb 2020
Controlled Sequential Monte Carlo
J. Heng
A. Bishop
George Deligiannidis
Arnaud Doucet
61
74
0
28 Aug 2017
The sample size required in importance sampling
S. Chatterjee
P. Diaconis
94
191
0
04 Nov 2015
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
117
12,223
0
19 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
199
4,258
0
04 Jun 2013
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