1. NeurIPS
    Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
    Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, and 3 more authors
    Advances in Neural Information Processing Systems, 2023
  2. Under review,
    AISTATS 2024
    Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
    Mizu Nishikawa-Toomey*, Tristan Deleu*, Jithendaraa Subramanian, and 2 more authors
    AAAI Workshop Graphs and More Complex Structures for Learning and Reasoning, 2023


  1. Under review,
    ICLR 2024
    Learning Latent Structural Causal Models
    Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, and 5 more authors
    arXiv preprint arXiv:2210.13583, 2022


  1. EDM
    Deep Reinforcement Learning to Simulate, Train, and Evaluate Instructional Sequencing Policies
    J. Subramanian, and J. Mostow
    RL4ED workshop at EDM conference, 2021