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2405.20971
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Amortizing intractable inference in diffusion models for vision, language, and control
31 May 2024
S. Venkatraman
Moksh Jain
Luca Scimeca
Minsu Kim
Marcin Sendera
Mohsin Hasan
Luke Rowe
Sarthak Mittal
Pablo Lemos
Emmanuel Bengio
Alexandre Adam
Jarrid Rector-Brooks
Yoshua Bengio
Glen Berseth
Nikolay Malkin
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Papers citing
"Amortizing intractable inference in diffusion models for vision, language, and control"
14 / 14 papers shown
Title
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey
G. Subbaraj
Artem Cherkasov
Martin Ester
Emmanuel Bengio
AI4CE
31
1
0
08 Mar 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
101
2
0
10 Dec 2024
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine L. Bouman
William T. Freeman
DiffM
53
55
0
23 Apr 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng
Kristy Choi
Jiaming Song
Stefano Ermon
DiffM
157
30
0
02 Nov 2022
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
111
57
0
02 Oct 2022
Compositional Score Modeling for Simulation-based Inference
Tomas Geffner
George Papamakarios
A. Mnih
41
13
0
28 Sep 2022
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
154
68
0
30 May 2022
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
146
537
0
27 May 2022
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
172
381
0
20 May 2022
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin
Moksh Jain
Emmanuel Bengio
Chen Sun
Yoshua Bengio
132
113
0
31 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
177
627
0
12 Oct 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
Ayman Boustati
Nikolas Nusken
Francisco J. R. Ruiz
Ömer Deniz Akyildiz
DRL
102
36
0
20 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
311
1,662
0
04 May 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
703
6,435
0
26 Sep 2016
1