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David DeFazio
David DeFazio
Graduate Student, Binghamton University
E-mail confirmado em binghamton.edu
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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
732021
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
352019
Adversarial model extraction on graph neural networks
D DeFazio, A Ramesh
arXiv preprint arXiv:1912.07721, 2019
142019
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
82018
Learning quadruped locomotion policies with reward machines
D DeFazio, S Zhang
arXiv preprint arXiv:2107.10969, 2021
72021
Leveraging Human Knowledge to Learn Quadruped Locomotion Policies
D DeFazio, S Zhang
arXiv preprint arXiv:2107.10969, 2021
32021
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control
D DeFazio, E Hirota, S Zhang
Conference on Robot Learning, 2184-2194, 2023
22023
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
22022
Learning quadruped locomotion policies using logical rules
D DeFazio, Y Hayamizu, S Zhang
34th International Conference on Automated Planning and Scheduling, 2024
12024
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
12021
Learning Diverse Quadruped Locomotion Gaits via Reward Machines
D DeFazio, Y Hayamizu, S Zhang
Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023
2023
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