Publications

(2024). A Compositional Atlas for Algebraic Circuits. Conference on Neural Information Processing Systems (NeurIPS).

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(2024). Where is the signal in tokenization space?. Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2024). Provable Preimage Under-Approximation for Neural Networks. International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS).

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(2024). Neural Structure Learning with Stochastic Differential Equations. International Conference on Learning Representations (ICLR).

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(2023). Compositional Probabilistic and Causal Inference using Tractable Circuit Models. International Conference on Artificial Intelligence and Statistics (AISTATS).

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(2022). Tractable Uncertainty for Structure Learning. International Conference on Machine Learning (ICML).

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(2022). Symbolic Causal Inference via Operations on Probabilistic Circuits. NeurIPS 2022 Workshop on Neuro Causal and Symbolic AI (nCSI).

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(2022). Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits. International Joint Conference on Artificial Intelligence (IJCAI).

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(2021). Statistically Robust Neural Network Classification. Uncertainty in Artificial Intelligence (UAI).

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(2021). Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. International Joint Conference on Artificial Intelligence (IJCAI).

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(2020). Assessing Robustness of Text Classification through Maximal Safe Radius Computation. Findings of the Association for Computational Linguistics: EMNLP 2020.

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