A curated list of resources about generative flow networks (GFlowNets).
GFlowNet Foundations
Yoshua Bengio, et al.
The GFlowNet Tutorial
Yoshua Bengio.
GFlowNet Tutorial Colab
Emmanuel Bengio.
Bayesian learning of Causal Structure and Mechanisms
with GFlowNets and Variational Bayes [DAG-GFlowNet with parameters]
Mizu Nishikawa-Toomey, et al.
Multi-Objective GFlowNets
Moksh Jain, et al.
Generative Augmented Flow Networks [enabling intermediate rewards]
Ling Pan, et al.
Learning GFlowNets from partial episodes for improved convergence and stability [SubTB criterion]
Kanika Madan, et al. [code]
GFlowNets and variational inference
Nikolay Malkin, et al.
Trajectory Balance: Improved Credit Assignment in GFlowNets [trajectory balance (TB) criterion]
Nikolay Malkin, et al. NeurIPS 2022. [code]
Bayesian Structure Learning with Generative Flow Networks [causal graph Bayesian posterior]
Tristan Deleu, et al. UAI 2022. [code]
Generative Flow Networks for Discrete Probabilistic Modeling [energy-based GFlowNet]
Dinghuai Zhang, et al. ICML 2022. [code]
Biological Sequence Design with GFlowNets
Moksh Jain, et al. ICML 2022. [code]
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation [first GFlowNet paper]
Emmanuel Bengio, et al. NeurIPS 2021. [blog post] [code]
Unifying Generative Models with GFlowNets
Dinghuai Zhang, et al. ICML 2022 Beyond Bayes workshop.
Evaluating Generalization in GFlowNets for Molecule Design
Andrei Cristian Nica, et al. ICML 2022 MLDD workshop.
If you have any suggestion or want to add your own work, please feel free to drop a message to dinghuai.zhang@mila.quebec.