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
Generative Flow Networks as Entropy-Regularized RL D. Tiapkin Nikita Morozov Alexey Naumov Dmitry Vetrov 37 28 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 24 16 0 12 Oct 2023
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs Moritz Schauer Marcel Wienöbst CML 17 2 0 09 Oct 2023
Amortizing intractable inference in large language models Marvin Schmitt Moksh Jain Daniel Habermann Younesse Kaddar Ullrich Kothe Stefan T. Radev Nikolay Malkin AIFin BDL 24 46 0 06 Oct 2023
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems Trang Nguyen Alexander Tong Kanika Madan Yoshua Bengio Dianbo Liu 17 4 0 05 Oct 2023
Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan Moksh Jain Kanika Madan Yoshua Bengio 42 13 0 05 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian Daniel Daza Emile van Krieken Thiviyan Thanapalasingam Peter Bloem 14 4 0 05 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 25 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 31 5 0 04 Oct 2023
Local Search GFlowNets Minsu Kim Taeyoung Yun Emmanuel Bengio Dinghuai Zhang Yoshua Bengio Sungsoo Ahn Jinkyoo Park 24 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 26 40 0 04 Oct 2023
Delta-AI: Local objectives for amortized inference in sparse graphical models J. Falet Hae Beom Lee Nikolay Malkin Chen Sun Dragos Secrieru Thomas Jiralerspong Dinghuai Zhang Guillaume Lajoie Yoshua Bengio 44 6 0 03 Oct 2023
Order-Preserving GFlowNets Yihang Chen Lukas Mauch 27 9 0 30 Sep 2023
Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks Christo Kurisummoottil Thomas Christina Chaccour Walid Saad Merouane Debbah C. Hong 21 20 0 23 Sep 2023
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets Tiago da Silva Eliezer de Souza da Silva Adèle Ribeiro António Góis Dominik Heider Samuel Kaski Diego Mesquita CML 43 6 0 21 Sep 2023
Differentiable Bayesian Structure Learning with Acyclicity Assurance Quang-Duy Tran Phuoc Nguyen Bao Duong Thin Nguyen 32 2 0 04 Sep 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Yashas Annadani Nick Pawlowski Joel Jennings Stefan Bauer Cheng Zhang Wenbo Gong CML BDL 8 17 0 26 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
Generative Flow Networks: a Markov Chain Perspective T. Deleu Yoshua Bengio BDL 21 8 0 04 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 20 24 0 30 Jun 2023
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design Julien Roy Pierre-Luc Bacon C. Pal Emmanuel Bengio AI4CE 17 14 0 07 Jun 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 35 4 0 02 Jun 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network T. Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio BDL 30 43 0 30 May 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets Dinghuai Zhang H. Dai Nikolay Malkin Aaron Courville Yoshua Bengio L. Pan 24 36 0 26 May 2023
torchgfn: A PyTorch GFlowNet library Salem Lahlou J. Viviano Victor Schmidt Yoshua Bengio AI4CE 30 4 0 24 May 2023
Toward Falsifying Causal Graphs Using a Permutation-Based Test Elias Eulig Atalanti A. Mastakouri Patrick Blobaum Michael W. Hardt Dominik Janzing 13 8 0 16 May 2023
Towards Understanding and Improving GFlowNet Training Max W. Shen Emmanuel Bengio Ehsan Hajiramezanali Andreas Loukas Kyunghyun Cho Tommaso Biancalani 11 48 0 11 May 2023
GFlowNets with Human Feedback Yinchuan Li Shuang Luo Yunfeng Shao Jianye Hao AI4CE 13 5 0 11 May 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks Wenqian Li Yinchuan Li Zhigang Li Jianye Hao Yan Pang 83 29 0 04 Mar 2023
CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li Shuang Luo Haozhi Wang Jianye Hao 81 20 0 04 Mar 2023
Differentiable Multi-Target Causal Bayesian Experimental Design Yashas Annadani P. Tigas Desi R. Ivanova Andrew Jesson Y. Gal Adam Foster Stefan Bauer BDL CML 18 13 0 21 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 39 30 0 19 Feb 2023
GFlowNet-EM for learning compositional latent variable models J. E. Hu Nikolay Malkin Moksh Jain Katie Everett Alexandros Graikos Yoshua Bengio CoGe 24 38 0 13 Feb 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 24 25 0 11 Feb 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 16 21 0 08 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets Yiheng Zhu Jialun Wu Chaowen Hu Jiahuan Yan Chang-Yu Hsieh Tingjun Hou Jian Wu 19 32 0 08 Feb 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 38 10 0 03 Feb 2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories L. Pan Nikolay Malkin Dinghuai Zhang Yoshua Bengio 22 59 0 03 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 23 45 0 01 Feb 2023
A theory of continuous generative flow networks Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 33 79 0 30 Jan 2023
Robust Scheduling with GFlowNets David W. Zhang Corrado Rainone M. Peschl Roberto Bondesan 21 48 0 17 Jan 2023
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 27 2 0 24 Nov 2022
Reinforcement Causal Structure Learning on Order Graph Dezhi Yang Guoxian Yu J. Wang Zhe Wu Maozu Guo BDL CML 26 16 0 22 Nov 2022
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes Mizu Nishikawa-Toomey T. Deleu Jithendaraa Subramanian Yoshua Bengio Laurent Charlin BDL CML 26 29 0 04 Nov 2022
Learning Discrete Directed Acyclic Graphs via Backpropagation A. Wren Pasquale Minervini Luca Franceschi Valentina Zantedeschi 19 2 0 27 Oct 2022
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 24 7 0 24 Oct 2022
GFlowOut: Dropout with Generative Flow Networks Dianbo Liu Moksh Jain Bonaventure F. P. Dossou Qianli Shen Salem Lahlou ... Dinghuai Zhang N. Hassen Xu Ji Kenji Kawaguchi Yoshua Bengio UQCV BDL OOD 25 20 0 24 Oct 2022
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications Christo Kurisummoottil Thomas Walid Saad 24 31 0 21 Oct 2022
GFlowCausal: Generative Flow Networks for Causal Discovery Wenqian Li Yinchuan Li Shengyu Zhu Yunfeng Shao Jianye Hao Yan Pang BDL CML 11 12 0 15 Oct 2022
A Variational Perspective on Generative Flow Networks Heiko Zimmermann Fredrik Lindsten Jan Willem van de Meent C. A. Naesseth 17 32 0 14 Oct 2022