Generative Flow Networks: a Markov Chain Perspective

A splitting technique for Harris recurrent Markov chains

Esa Nummelin · 1978

Earlier work this paper cites.

Markov Chains and Stochastic Stability

Sean P Meyn and Richard L Tweedie · 1993

Earlier work this paper cites.

Probabilistic inference using Markov chain Monte Carlo methods

Radford M Neal · 1993

Earlier work this paper cites.

Information theory, inference and learning algorithms

David JC MacKay · 2003

Earlier work this paper cites.

Markov Chains

Randal Douc, Eric Moulines, Pierre Priouret, and Philippe Soulier · 2018

Earlier work this paper cites.

Bayesian Structure Learning with Generative Flow Networks

Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, and Yoshua Bengio · 2022

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Biological Sequence Design with GFlowNets

Moksh Jain, Emmanuel Bengio, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Bonaventure F.P. Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Micheal Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, and Yoshua Bengio · 2022

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Trajectory balance: Improved credit assignment in GFlowNets

Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, and Yoshua Bengio · 2022

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Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network

Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, and Yoshua Bengio · 2023

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GFlowNet-EM for learning compositional latent variable models

Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, and Yoshua Bengio · 2023

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Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, and Yoshua Bengio

Cited in the paper.

GFlowNet Foundations

Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J Hu, Mo Tiwari, and Emmanuel Bengio

Cited in the paper.

GFlowNets for AI-Driven Scientific Discovery

Moksh Jain, Tristan Deleu, Jason Hartford, Cheng-Hao Liu, Alex Hernandez-Garcia, and Yoshua Bengio · 2023

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A Theory of Continuous Generative Flow Networks

Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, and Nikolay Malkin · 2023

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CFlowNets: Continuous control with Generative Flow Networks

Yinchuan Li, Shuang Luo, Haozhi Wang, and Jianye Hao · 2023

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Unifying generative models with GFlowNets and beyond

Original

Dinghuai Zhang, Ricky T. Q. Chen, Nikolay Malkin, and Yoshua Bengio · 2023

Closest in time.