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David DeFazio
David DeFazio
Graduate Student, Binghamton University
Verified email at binghamton.edu
Title
Cited by
Cited by
Year
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
1112021
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
382019
Adversarial model extraction on graph neural networks
D DeFazio, A Ramesh
arXiv preprint arXiv:1912.07721, 2019
212019
Learning quadruped locomotion policies using logical rules
D DeFazio, Y Hayamizu, S Zhang
Proceedings of the International Conference on Automated Planning and …, 2024
13*2024
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
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control
D DeFazio, E Hirota, S Zhang
Conference on Robot Learning, 2184-2194, 2023
32023
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
32022
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
22021
Vision Language Models Can Parse Floor Plan Maps
D DeFazio, H Mehta, J Blackburn, S Zhang
arXiv preprint arXiv:2409.12842, 2024
2024
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