2025 ICML 2025 Distinguishing Cause from Effect with Causal Velocity Models Johnny Xi, Hugh Dance, Peter Orbanz, and 1 more author In ICML 2025, 2025 arXiv Code ICML 2025 Identifying metric structures of deep latent variable models Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, and 2 more authors In ICML 2025, 2025 arXiv Code 2024 NeurIPS 2024 Propensity Score Alignment of Unpaired Multimodal Data Johnny Xi, Jana Osea, Zuheng Xu, and 1 more author In NeurIPS 2024, 2024 arXiv Code Poster 2023 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 PDF Poster AISTATS 2023 Indeterminacy in Generative Models: Characterization and Strong Identifiability Quanhan Xi, and Benjamin Bloem-Reddy In AISTATS, 2023 arXiv Poster Website 2021 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 Website 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 PDF Poster 2020 AAAI Robust Gradient-based Markov Subsampling Tieliang Gong, Quanhan Xi, and Chen Xu In AAAI, 2020 PDF