publications

2024

  1. ICLR MLGenX
    Propensity Score Alignment of Unpaired Multimodal Data
    Johnny Xi, and Jason Hartford
    In ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 2024

2023

  1. NeurIPS CRL
    Triangular Monotonic Generative Models Can Perform Causal Discovery
    Quanhan Xi, Sebastian Gonzalez, and Benjamin Bloem-Reddy
    In NeurIPS Workshop on Causal Representation Learning Workshop, 2023
  2. AISTATS
    Indeterminacy in Generative Models: Characterization and Strong Identifiability
    Quanhan Xi, and Benjamin Bloem-Reddy
    In AISTATS, 2023

2021

  1. CSCE
    Assessing the probabilistic assumptions behind structural reliability via simulation
    Quanhan Xi, and Jeffrey Packer
    In Proceedings of the Canadian Society of Civil Engineering Annual Conference, 2021
  2. NeurIPS WHY-21
    Multiple Environments can Reduce Indeterminacy in VAEs
    Quanhan Xi, and Benjamin Bloem-Reddy
    In NeurIPS Workshop on Causal Inference & Machine Learning (WHY-21), 2021

2020

  1. AAAI
    Robust Gradient-based Markov Subsampling
    Tieliang Gong, Quanhan Xi, and Chen Xu
    In AAAI, 2020