Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders. - Mizu Nishikawa-Toomey; Lewis Smith; Yarin Gal (CoRR, 2020)

Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes. - Mizu Nishikawa-Toomey; Tristan Deleu; Jithendaraa Subramanian; Yoshua Bengio; Laurent Charlin (CoRR, 2022)

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; Yoshua Bengio (NeurIPS, 2023)