- NeurIPSChroma-VAE: Mitigating Shortcut Learning with Generative ClassifiersIn Advances in Neural Information Processing Systems, 2022.
- NeurIPSIncorporating Interpretable Output Constraints in Bayesian Neural NetworksIn Advances in Neural Information Processing Systems, 2020.[Accepted as spotlight paper, top ~3% of papers.]
- ThesisMaking Decisions Under High Stakes: Trustworthy and Expressive Bayesian Deep LearningSenior Thesis, Harvard University, 2020.(PDF below contains post hoc corrections for minor errata.)
- PLOS CBDiscovery of Hierarchical Representations for Efficient PlanningPLOS Computational Biology, 2020.
- ICML WorkshopOutput-Constrained Bayesian Neural NetworksIn 36th International Conference on Machine Learning Workshop on Uncertainty and Robustness in Deep Learning, 2019.