David DeFazio

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Emergency Response

Reinforcement Learning

Legged Locomotion

Top Venues

Pervasive Mob. Comput.

Publications

David DeFazio, Yohei Hayamizu, Shiqi Zhang
Learning Quadruped Locomotion Policies Using Logical Rules. ICAPS (2024)
David DeFazio, Eisuke Hirota, Shiqi Zhang
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control. CoRL (2023)
David DeFazio, Eisuke Hirota, Shiqi Zhang
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control. CoRR (2023)
Yan Cao, Keting Lu, David DeFazio, Shiqi Zhang
Goal-oriented Vision-and-Dialog Navigation via Reinforcement Learning. EMNLP (Findings) (2022)
Raushan Raj, Arti Ramesh, Anand Seetharam, David DeFazio
SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields. Pervasive Mob. Comput. 71 (2021)
David DeFazio, Shiqi Zhang
Learning Quadruped Locomotion Policies with Reward Machines. CoRR (2021)
Yue Zhang, David DeFazio, Arti Ramesh
RelEx: A Model-Agnostic Relational Model Explainer. AIES (2021)
Yue Zhang, David DeFazio, Arti Ramesh
RelEx: A Model-Agnostic Relational Model Explainer. CoRR (2020)
David DeFazio, Arti Ramesh
Adversarial Model Extraction on Graph Neural Networks. CoRR (2019)
Gissella Bejarano, David DeFazio, Arti Ramesh
Deep Latent Generative Models for Energy Disaggregation. AAAI (2019)
David DeFazio, Arti Ramesh, Anand Seetharam
NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields. MobiQuitous (2018)