Fetching the paper…
Reading the bibliography…
Generative Flow Networks (GFlowNets or GFNs) are probabilistic models predicated on Markov flows, and they employ specific amortization algorithms to learn stochastic policies that generate compositional substances including biomolecules, chemical materials, etc.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Earlier work this paper cites.
Mars: Markov molecular sampling for multi-objective drug discovery
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, and Lei Li · 2020
Earlier work this paper cites.
Molecular mechanics-driven graph neural network with multiplex graph for molecular structures
Shuo Zhang, Yang Liu, and Lei Xie · 2020
Earlier work this paper cites.
Adalead: A simple and robust adaptive greedy search algorithm for sequence design
Sam Sinai, Richard Wang, Alexander Whatley, Stewart Slocum, Elina Locane, and Eric D Kelsic · 2020
Earlier work this paper cites.
Flow network based generative models for non-iterative diverse candidate generation
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, and Yoshua Bengio · 2021
Earlier work this paper cites.
Generative flow networks for discrete probabilistic modeling
Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron Courville, and Yoshua Bengio · 2022
Earlier work this paper cites.
Biological sequence design with gflownets
Moksh Jain, Emmanuel Bengio, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Bonaventure FP Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, et al · 2022
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
Earlier work this paper cites.
Trajectory balance: Improved credit assignment in gflownets
Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, and Yoshua Bengio · 2022
Cited alongside, same era.
Consistent training via energy-based gflownets for modeling discrete joint distributions, 2022
Chanakya Ekbote, Moksh Jain, Payel Das, and Yoshua Bengio · 2022
Cited alongside, same era.
Design-bench: Benchmarks for data-driven offline model-based optimization
Brandon Trabucco, Xinyang Geng, Aviral Kumar, and Sergey Levine · 2022
Cited alongside, same era.
Gflownet foundations
Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J Hu, Mo Tiwari, and Emmanuel Bengio · 2023
Cited alongside, same era.
Gflownet-em for learning compositional latent variable models
Edward J Hu, Nikolay Malkin, Moksh Jain, Katie E Everett, Alexandros Graikos, and Yoshua Bengio · 2023
Cited alongside, same era.
Causal inference in gene regulatory networks with gflownet: Towards scalability in large systems
A framework for toxic pfas replacement based on gflownet and chemical foundation model
Eduardo Soares, Flaviu Cipcigan, Dmitry Zubarev, and Emilio Vital Brazil · 2023
Later among the works it cites.
Towards equilibrium molecular conformation generation with gflownets
Alexandra Volokhova, Michał Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca Thiede, Zichao Yan, Alan Aspuru-Guzik, and Yoshua Bengio · 2023
Later among the works it cites.
Baking symmetry into gflownets
George Ma, Emmanuel Bengio, Yoshua Bengio, and Dinghuai Zhang · 2023
Later among the works it cites.
Thompson sampling for improved exploration in gflownets
Jarrid Rector-Brooks, Kanika Madan, Moksh Jain, Maksym Korablyov, Cheng-Hao Liu, Sarath Chandar, Nikolay Malkin, and Yoshua Bengio · 2023
Later among the works it cites.
A theory of continuous generative flow networks
Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-Garcıa, Léna Néhale Ezzine, Yoshua Bengio, and Nikolay Malkin · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Trang Nguyen, Alexander Tong, Kanika Madan, Yoshua Bengio, and Dianbo Liu · 2023
Cited alongside, same era.
Generative flow networks assisted biological sequence editing
Pouya M Ghari, Alex Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, and Ehsan Hajiramezanali · 2023
Cited alongside, same era.
Crystal-gfn: sampling crystals with desirable properties and constraints
Alex Hernandez-Garcia, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michał Koziarski, and Victor Schmidt · 2023
Cited alongside, same era.
Tacogfn: Target conditioned gflownet for structure-based drug design
Tony Shen, Mohit Pandey, Jason Smith, Artem Cherkasov, and Martin Ester
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
Cited in the paper.
Multi-objective gflownets
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcıa, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, and Emmanuel Bengio
Cited in the paper.
Robust scheduling with gflownets
David W Zhang, Corrado Rainone, Markus Peschl, and Roberto Bondesan
Cited in the paper.
Learning gflownets from partial episodes for improved convergence and stability
Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, and Nikolay Malkin · 2023
Later among the works it cites.
Dyngfn: Towards bayesian inference of gene regulatory networks with gflownets
Lazar Atanackovic, Alexander Tong, Bo Wang, Leo J Lee, Yoshua Bengio, and Jason S Hartford · 2024
Closest in time.
Let the flows tell: Solving graph combinatorial problems with gflownets
Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C Courville, Yoshua Bengio, and Ling Pan · 2024
Closest in time.