| Indeterminacy in generative models: Characterization and strong identifiability Q Xi, B Bloem-Reddy International Conference on Artificial Intelligence and Statistics, 6912-6939, 2023 | 16* | 2023 |
| Assessing the probabilistic assumptions behind structural reliability via simulation Q Xi, J Packer Proceedings of the Canadian Society of Civil Engineering Annual Conference …, 2022 | 6 | 2022 |
| Reliability of HSS Cross Connections in Branch Axial Compression DF Rudman, Q Xi, JA Packer, K Tousignant ENGINEERING JOURNAL-AMERICAN INSTITUTE OF STEEL CONSTRUCTION 59 (4), 313-336, 2022 | 3 | 2022 |
| Robust Gradient-Based Markov Subsampling T Gong, Q Xi, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4004-4011, 2020 | 3 | 2020 |
| Propensity Score Alignment of Unpaired Multimodal Data J Xi, J Hartford ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 2024 | | 2024 |
| Triangular Monotonic Generative Models Can Perform Causal Discovery Q Xi, S Gonzalez, B Bloem-Reddy Causal Representation Learning Workshop at NeurIPS 2023, 2023 | | 2023 |
| Multiple Environments Can Reduce Indeterminacy in VAEs Q Xi, B Bloem-Reddy NeurIPS WHY-21 Workshop, 2021 | | 2021 |
Benjamin Bloem-ReddyUniversity of British ColumbiaVerified email at stat.ubc.ca
