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2402.10309
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Discrete Probabilistic Inference as Control in Multi-path Environments
15 February 2024
T. Deleu
Padideh Nouri
Nikolay Malkin
Doina Precup
Yoshua Bengio
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Papers citing
"Discrete Probabilistic Inference as Control in Multi-path Environments"
32 / 32 papers shown
LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models
Siddharth Betala
Samuel P. Gleason
Ali Ramlaoui
Andy Xu
Georgia Channing
...
Félix Therrien
A. Garcia
Rocío Mercado
N. M. Anoop Krishnan
Alexandre Duval
ELM
178
3
0
04 Dec 2025
gfnx: Fast and Scalable Library for Generative Flow Networks in JAX
D. Tiapkin
Artem Agarkov
Nikita Morozov
Ian Maksimov
Askar Tsyganov
Timofei Gritsaev
S. Samsonov
159
2
0
20 Nov 2025
Reinforced sequential Monte Carlo for amortised sampling
Sanghyeok Choi
Sarthak Mittal
Victor Elvira
Jinkyoo Park
Nikolay Malkin
171
1
0
13 Oct 2025
FlowRL: Matching Reward Distributions for LLM Reasoning
Xuekai Zhu
Daixuan Cheng
D. Zhang
Hengli Li
Kaiyan Zhang
...
J. Gao
Xiaodong Liu
Bowen Zhou
Hongyuan Mei
Zhouhan Lin
LRM
429
20
0
18 Sep 2025
Relative Trajectory Balance is equivalent to Trust-PCL
T. Deleu
Padideh Nouri
Yoshua Bengio
Doina Precup
OffRL
186
1
0
01 Sep 2025
Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
Marco Jiralerspong
E. Derman
Danilo Vucetic
Nikolay Malkin
Bilun Sun
Tianyu Zhang
Pierre-Luc Bacon
Gauthier Gidel
OffRL
425
1
0
20 Jun 2025
Adaptive Destruction Processes for Diffusion Samplers
Timofei Gritsaev
Nikita Morozov
Kirill Tamogashev
D. Tiapkin
S. Samsonov
A. Naumov
Dmitry Vetrov
Nikolay Malkin
359
5
0
02 Jun 2025
Sampling Decisions
Michael Chertkov
Sungsoo Ahn
Hamidreza Behjoo
301
4
0
17 Mar 2025
Learning Decision Trees as Amortized Structure Inference
Mohammed Mahfoud
Ghait Boukachab
Michał Koziarski
A. Garcia
Stefan Bauer
Yoshua Bengio
Nikolay Malkin
BDL
350
1
0
10 Mar 2025
Consistent Amortized Clustering via Generative Flow Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Irit Chelly
Roy Uziel
Oren Freifeld
Ari Pakman
552
1
0
26 Feb 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
Computer Vision and Pattern Recognition (CVPR), 2025
Taeyoung Yun
Dinghuai Zhang
Jinkyoo Park
Ling Pan
DiffM
439
14
0
17 Feb 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
Julius Berner
Lorenz Richter
Marcin Sendera
Jarrid Rector-Brooks
Nikolay Malkin
OffRL
592
15
0
10 Jan 2025
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Neural Information Processing Systems (NeurIPS), 2024
Hyeon-Seob Kim
Minsu Kim
Sanghyeok Choi
Jinkyoo Park
444
24
0
31 Dec 2024
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
International Conference on Learning Representations (ICLR), 2024
Timofei Gritsaev
Nikita Morozov
S. Samsonov
D. Tiapkin
334
7
0
20 Oct 2024
Action abstractions for amortized sampling
International Conference on Learning Representations (ICLR), 2024
Oussama Boussif
Léna Néhale Ezzine
J. Viviano
Michał Koziarski
Moksh Jain
Nikolay Malkin
Emmanuel Bengio
Rim Assouel
Yoshua Bengio
261
3
0
19 Oct 2024
On Divergence Measures for Training GFlowNets
Neural Information Processing Systems (NeurIPS), 2024
Tiago da Silva
Eliezer de Souza da Silva
Diego Mesquita
BDL
509
5
0
12 Oct 2024
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
NMR in Biomedicine (NMR Biomed), 2024
Melanie Rieff
Fabian Holzberger
Oksana Lapina
Geir Ringstad
Lars Magnus Valnes
Bogna Warsza
Kent-Andre Mardal
Per Kristian Eide
Barbara Wohlmuth
450
11
0
06 Oct 2024
Adaptive teachers for amortized samplers
International Conference on Learning Representations (ICLR), 2024
Minsu Kim
Sanghyeok Choi
Taeyoung Yun
Emmanuel Bengio
Leo Feng
Jarrid Rector-Brooks
Sungsoo Ahn
Jinkyoo Park
Nikolay Malkin
Yoshua Bengio
988
22
0
02 Oct 2024
Sampling from Energy-based Policies using Diffusion
V. Jain
Tara Akhound-Sadegh
Siamak Ravanbakhsh
DiffM
652
13
0
02 Oct 2024
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
Masatoshi Uehara
Yulai Zhao
Tommaso Biancalani
Sergey Levine
363
65
0
18 Jul 2024
On Generalization for Generative Flow Networks
Anas Krichel
Nikolay Malkin
Salem Lahlou
Yoshua Bengio
AI4CE
265
3
0
03 Jul 2024
Improving GFlowNets with Monte Carlo Tree Search
Nikita Morozov
D. Tiapkin
S. Samsonov
Alexey Naumov
Dmitry Vetrov
302
8
0
19 Jun 2024
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples
Fangxu Yu
Lai Jiang
Haoqiang Kang
Shibo Hao
Lianhui Qin
LRM
AI4CE
801
10
0
09 Jun 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song
Chao Yang
Chaojie Wang
Bo An
Shuang Li
598
11
0
03 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Haoran He
C. Chang
Huazhe Xu
Ling Pan
631
9
0
03 Jun 2024
Improving GFlowNets for Text-to-Image Diffusion Alignment
Dinghuai Zhang
Yizhe Zhang
Jiatao Gu
Ruixiang Zhang
J. Susskind
Navdeep Jaitly
Shuangfei Zhai
EGVM
378
23
0
02 Jun 2024
Pessimistic Backward Policy for GFlowNets
Hyosoon Jang
Yunhui Jang
Minsu Kim
Jinkyoo Park
SungSoo Ahn
280
12
0
25 May 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
483
62
0
11 Mar 2024
QGFN: Controllable Greediness with Action Values
Elaine Lau
Stephen Zhewen Lu
Ling Pan
Doina Precup
Emmanuel Bengio
423
18
0
07 Feb 2024
Improved off-policy training of diffusion samplers
Marcin Sendera
Minsu Kim
Sarthak Mittal
Pablo Lemos
Luca Scimeca
Jarrid Rector-Brooks
Alexandre Adam
Yoshua Bengio
Nikolay Malkin
OffRL
864
45
0
07 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic
Emmanuel Bengio
AI4CE
376
8
0
07 Feb 2024
Maximum entropy GFlowNets with soft Q-learning
Sobhan Mohammadpour
Emmanuel Bengio
Emma Frejinger
Pierre-Luc Bacon
408
31
0
21 Dec 2023
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