NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields. - David DeFazio; Arti Ramesh; Anand Seetharam (MobiQuitous, 2018)

Deep Latent Generative Models for Energy Disaggregation. - Gissella Bejarano; David DeFazio; Arti Ramesh (AAAI, 2019)

Adversarial Model Extraction on Graph Neural Networks. - David DeFazio; Arti Ramesh (CoRR, 2019)

RelEx: A Model-Agnostic Relational Model Explainer. - Yue Zhang 047; David DeFazio; Arti Ramesh (AIES, 2021)

Learning Quadruped Locomotion Policies with Reward Machines. - David DeFazio; Shiqi Zhang 001 (CoRR, 2021)

SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields. - Raushan Raj; Arti Ramesh; Anand Seetharam; David DeFazio (Pervasive Mob. Comput., 2021)

Goal-oriented Vision-and-Dialog Navigation via Reinforcement Learning. - Yan Cao; Keting Lu; David DeFazio; Shiqi Zhang 001 (EMNLP (Findings), 2022)

Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control. - David DeFazio; Eisuke Hirota; Shiqi Zhang 001 (CoRL, 2023)

Learning Quadruped Locomotion Policies Using Logical Rules. - David DeFazio; Yohei Hayamizu; Shiqi Zhang 001 (ICAPS, 2024)

Vision Language Models Can Parse Floor Plan Maps. - David DeFazio; Hrudayangam Mehta; Jeremy Blackburn; Shiqi Zhang 001 (CoRR, 2024)