Bayesian Structure Learning with Generative Flow Networks

28 February 2022

Stefan Bauer

Papers citing "Bayesian Structure Learning with Generative Flow Networks"

50 / 112 papers shown

Title
Identifying Causal Direction via Variational Bayesian Compression Quang-Duy Tran Bao Duong Phuoc Nguyen Thin Nguyen CML 24 0 0 12 May 2025
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets Adam Younsi Abdalgader Abubaker M. Seddik Hakim Hacid Salem Lahlou LRM 57 0 0 28 Apr 2025
RLBayes: a Bayesian Network Structure Learning Algorithm via Reinforcement Learning-Based Search Strategy Mingcan Wang Junchang Xin L. Qu Qi Chen Z. Wang 20 0 0 07 Apr 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Z. Liu Yoshua Bengio Can Chen OffRL 57 2 0 21 Mar 2025
Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud Ghait Boukachab Michał Koziarski A. Garcia Stefan Bauer Yoshua Bengio Nikolay Malkin BDL 48 0 0 10 Mar 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning Chongming Gao Mengyao Gao Chenxiao Fan Shuai Yuan Wentao Shi Xiangnan He 74 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 66 1 0 08 Mar 2025
Consistent Amortized Clustering via Generative Flow Networks Irit Chelly Roy Uziel O. Freifeld Ari Pakman 44 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 76 2 0 17 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 41 0 0 28 Jan 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 118 2 0 10 Dec 2024
Streaming Bayes GFlowNets Tiago da Silva Daniel Augusto R. M. A. de Souza Diego Mesquita BDL 36 0 0 08 Nov 2024
Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks T. Nguyen Sherif Abdulkader Tawfik Truyen Tran Sunil Gupta Santu Rana Svetha Venkatesh 30 0 0 06 Nov 2024
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 29 1 0 12 Oct 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 34 1 0 08 Oct 2024
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks Rui Hu Yifan Zhang Zhuoran Li Longbo Huang 30 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 108 2 0 02 Oct 2024
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration Siyi He 20 0 0 01 Oct 2024
Possible principles for aligned structure learning agents Lancelot Da Costa Tomáš Gavenčiak David Hyland Mandana Samiei Cristian Dragos-Manta Candice Pattisapu Adeel Razi Karl J. Friston 16 1 0 30 Sep 2024
GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey G. Subbaraj Emmanuel Bengio AI4CE 36 3 0 15 Sep 2024
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets Dominic Phillips F. Cipcigan 40 3 0 28 Aug 2024
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 41 0 0 25 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
GFlowNet Training by Policy Gradients Puhua Niu Shili Wu Mingzhou Fan Xiaoning Qian 83 3 0 12 Aug 2024
Can a Bayesian Oracle Prevent Harm from an Agent? Yoshua Bengio Michael K. Cohen Nikolay Malkin Matt MacDermott Damiano Fornasiere Pietro Greiner Younesse Kaddar 37 4 0 09 Aug 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 39 0 0 06 Jul 2024
Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons Vyacheslav Kungurtsev Fadwa Idlahcen Petr Rysavý Pavel Rytír Ales Wodecki 45 1 0 25 Jun 2024
Graph Structure Learning with Interpretable Bayesian Neural Networks Max Wasserman Gonzalo Mateos CML 34 6 0 20 Jun 2024
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses Zhiwen Fan Pu Wang Yang Katie Zhao Yibo Zhao B. Ivanovic Zhangyang Wang Marco Pavone H. Yang 23 4 0 16 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 89 10 0 09 Jun 2024
Baking Symmetry into GFlowNets George Ma Emmanuel Bengio Yoshua Bengio Dinghuai Zhang 37 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
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery Amir Mohammad Karimi Mamaghan P. Tigas Karl Henrik Johansson Yarin Gal Yashas Annadani Stefan Bauer CML 34 3 0 05 Jun 2024
Bifurcated Generative Flow Networks Chunhui Li Cheng-Hao Liu Dianbo Liu Qingpeng Cai Ling Pan 78 2 0 04 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 83 6 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 90 7 0 02 Jun 2024
Learning diverse attacks on large language models for robust red-teaming and safety tuning Seanie Lee Minsu Kim Lynn Cherif David Dobre Juho Lee ... Kenji Kawaguchi Gauthier Gidel Yoshua Bengio Nikolay Malkin Moksh Jain AAML 53 12 0 28 May 2024
Pessimistic Backward Policy for GFlowNets Hyosoon Jang Yunhui Jang Minsu Kim Jinkyoo Park Sungsoo Ahn 49 4 0 25 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 27 1 0 22 May 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity Wenrui Li Wei Zhang Qinghao Zhang Xuegong Zhang Xiaowo Wang 23 0 0 14 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 29 2 0 08 Apr 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 32 1 0 17 Mar 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 43 1 0 22 Feb 2024
Discrete Probabilistic Inference as Control in Multi-path Environments T. Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio 109 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 64 17 0 07 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 25 2 0 07 Feb 2024
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning Andreas Sauter N. Botteghi Erman Acar Aske Plaat CML 11 3 0 30 Jan 2024
Maximum entropy GFlowNets with soft Q-learning Sobhan Mohammadpour Emmanuel Bengio Emma Frejinger Pierre-Luc Bacon 27 17 0 21 Dec 2023
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework Fabrizio Russo Francesca Toni 17 0 0 18 Dec 2023
DGFN: Double Generative Flow Networks Elaine Lau Nikhil Vemgal Doina Precup Emmanuel Bengio AI4CE 22 7 0 30 Oct 2023