publications

2025

  1. ICML 2025
    Distinguishing Cause from Effect with Causal Velocity Models
    Johnny XiHugh DancePeter Orbanz, and 1 more author
    In ICML 2025, 2025
  2. ICML 2025
    Identifying metric structures of deep latent variable models
    Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, and 2 more authors
    In ICML 2025, 2025

2024

  1. NeurIPS 2024
    Propensity Score Alignment of Unpaired Multimodal Data
    Johnny Xi, Jana Osea, Zuheng Xu, and 1 more author
    In NeurIPS 2024, 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 2023
    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