| Relex: A model-agnostic relational model explainer Y Zhang, D Defazio, A Ramesh Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1042 …, 2021 | 41 | 2021 |
| Deep latent generative models for energy disaggregation G Bejarano, D DeFazio, A Ramesh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 850-857, 2019 | 25 | 2019 |
| Nycer: A non-emergency response predictor for nyc using sparse gaussian conditional random fields D DeFazio, A Ramesh, A Seetharam Proceedings of the 15th EAI International Conference on Mobile and …, 2018 | 8 | 2018 |
| Adversarial model extraction on graph neural networks D DeFazio, A Ramesh arXiv preprint arXiv:1912.07721, 2019 | 7 | 2019 |
| Learning quadruped locomotion policies with reward machines D DeFazio, S Zhang CoRR, abs/2107.10969, 2021 | 6 | 2021 |
| Leveraging Human Knowledge to Learn Quadruped Locomotion Policies D DeFazio, S Zhang arXiv preprint arXiv:2107.10969, 2021 | 1 | 2021 |
| Goal-oriented Vision-and-Dialog Navigation via Reinforcement Learning Y Cao, K Lu, D DeFazio, S Zhang Findings of the Association for Computational Linguistics: EMNLP 2022, 4473-4482, 2022 | | 2022 |
| SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields R Raj, A Ramesh, A Seetharam, D DeFazio Pervasive and Mobile Computing 71, 101317, 2021 | | 2021 |
