Generative Flow Networks for Discrete Probabilistic Modeling

3 February 2022

Nikolay Malkin

Aaron Courville

Papers citing "Generative Flow Networks for Discrete Probabilistic Modeling"

50 / 88 papers shown

Title
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 42 0 0 06 May 2025
Secrets of GFlowNets' Learning Behavior: A Theoretical Study Tianshu Yu 30 0 0 04 May 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 67 2 0 21 Mar 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning Chongming Gao Mengyao Gao Chenxiao Fan Shuai Yuan Wentao Shi Xiangnan He 76 2 0 10 Mar 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey G. Subbaraj Artem Cherkasov Martin Ester Emmanuel Bengio AI4CE 81 1 0 08 Mar 2025
Action Tokenizer Matters in In-Context Imitation Learning An Vuong M. Vu Dong An Ian Reid 61 1 0 03 Mar 2025
Consistent Amortized Clustering via Generative Flow Networks Irit Chelly Roy Uziel Oren Freifeld Ari Pakman 51 0 0 26 Feb 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation Taeyoung Yun Dinghuai Zhang Jinkyoo Park Ling Pan DiffM 84 2 0 17 Feb 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 123 2 0 10 Dec 2024
Streaming Bayes GFlowNets Tiago da Silva Daniel Augusto R. M. A. de Souza Diego Mesquita BDL 41 0 0 08 Nov 2024
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev Nikita Morozov S. Samsonov D. Tiapkin 21 0 0 20 Oct 2024
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 29 1 0 12 Oct 2024
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks Rui Hu Yifan Zhang Zhuoran Li Longbo Huang 35 0 0 03 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 186 2 0 02 Oct 2024
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration Siyi He 28 0 0 01 Oct 2024
GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey G. Subbaraj Emmanuel Bengio AI4CE 47 3 0 15 Sep 2024
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets Dominic Phillips F. Cipcigan 44 3 0 28 Aug 2024
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic Victor Verreet Lennert De Smet Luc de Raedt Emanuele Sansone 30 0 0 15 Aug 2024
Multi-Agent Continuous Control with Generative Flow Networks Shuang Luo Yinchuan Li Shunyu Liu Xu Zhang Yunfeng Shao Chao Wu AI4CE 27 2 0 13 Aug 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 101 5 0 09 Jun 2024
Baking Symmetry into GFlowNets George Ma Emmanuel Bengio Yoshua Bengio Dinghuai Zhang 45 8 0 08 Jun 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 42 1 0 05 Jun 2024
Bifurcated Generative Flow Networks Chunhui Li Cheng-Hao Liu Dianbo Liu Qingpeng Cai Ling Pan 90 2 0 04 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 98 8 0 02 Jun 2024
Pessimistic Backward Policy for GFlowNets Hyosoon Jang Yunhui Jang Minsu Kim Jinkyoo Park Sungsoo Ahn 57 4 0 25 May 2024
The Dual Imperative: Innovation and Regulation in the AI Era Paulo Carvao 36 0 0 23 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks Shuai Wang David W. Zhang Jia-Hong Huang S. Rudinac Monika Kackovic N. Wijnberg M. Worring 34 1 0 22 May 2024
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms Shuai Guo Jielei Chu Lei Zhu Zhaoyu Li Tianrui Li AI4CE 43 2 0 08 Apr 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 43 24 0 11 Mar 2024
Discrete Probabilistic Inference as Control in Multi-path Environments T. Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio 117 28 0 15 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 66 17 0 07 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 30 2 0 07 Feb 2024
Precise Knowledge Transfer via Flow Matching Shitong Shao Zhiqiang Shen Linrui Gong Huanran Chen Xu Dai 32 2 0 03 Feb 2024
Maximum entropy GFlowNets with soft Q-learning Sobhan Mohammadpour Emmanuel Bengio Emma Frejinger Pierre-Luc Bacon 35 17 0 21 Dec 2023
Improving Gradient-guided Nested Sampling for Posterior Inference Pablo Lemos Nikolay Malkin Will Handley Yoshua Bengio Y. Hezaveh Laurence Perreault Levasseur BDL 41 9 0 06 Dec 2023
Adversarial Imitation Learning On Aggregated Data Pierre Le Pelletier de Woillemont Rémi Labory Vincent Corruble 14 0 0 14 Nov 2023
Formulating Discrete Probability Flow Through Optimal Transport Pengze Zhang Hubery Yin Chen Li Xiaohua Xie OT 52 5 0 07 Nov 2023
Generative Flow Networks as Entropy-Regularized RL D. Tiapkin Nikita Morozov Alexey Naumov Dmitry Vetrov 48 28 0 19 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 32 1 0 19 Oct 2023
PhyloGFN: Phylogenetic inference with generative flow networks Mingyang Zhou Zichao Yan Elliot Layne Nikolay Malkin Dinghuai Zhang Moksh Jain Mathieu Blanchette Yoshua Bengio 29 16 0 12 Oct 2023
Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim Joohwan Ko Taeyoung Yun Dinghuai Zhang Ling Pan W. Kim Jinkyoo Park Emmanuel Bengio Yoshua Bengio AI4CE 35 21 0 04 Oct 2023
Expected flow networks in stochastic environments and two-player zero-sum games Marco Jiralerspong Bilun Sun Danilo Vucetic Tianyu Zhang Yoshua Bengio Gauthier Gidel Nikolay Malkin 39 5 0 04 Oct 2023
Local Search GFlowNets Minsu Kim Taeyoung Yun Emmanuel Bengio Dinghuai Zhang Yoshua Bengio Sungsoo Ahn Jinkyoo Park 34 33 0 04 Oct 2023
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 34 41 0 04 Oct 2023
Delta-AI: Local objectives for amortized inference in sparse graphical models Jean-Pierre Falet Hae Beom Lee Nikolay Malkin Chen Sun Dragos Secrieru Thomas Jiralerspong Dinghuai Zhang Guillaume Lajoie Yoshua Bengio 51 6 0 03 Oct 2023
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets Tiago da Silva Eliezer de Souza da Silva Adèle H. Ribeiro António Góis Dominik Heider Samuel Kaski Diego Mesquita CML 51 6 0 21 Sep 2023
Training Discrete Energy-Based Models with Energy Discrepancy Tobias Schröder Zijing Ou Yingzhen Li Andrew B. Duncan 24 0 0 14 Jul 2023
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris C. Emezue Alexandre Drouin T. Deleu Stefan Bauer Yoshua Bengio CML 35 2 0 11 Jul 2023
Thompson sampling for improved exploration in GFlowNets Jarrid Rector-Brooks Kanika Madan Moksh Jain Maksym Korablyov Cheng-Hao Liu Sarath Chandar Nikolay Malkin Yoshua Bengio 26 24 0 30 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations Eli J. Laird Ayesh Madushanka E. Kraka Corey Clark 19 1 0 07 Jun 2023