How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. - Chia-Wei Liu; Ryan Lowe; Iulian Serban; Michael Noseworthy; Laurent Charlin; Joelle Pineau (EMNLP, 2016)

On the Evaluation of Dialogue Systems with Next Utterance Classification. - Ryan Lowe; Iulian Vlad Serban; Michael Noseworthy; Laurent Charlin; Joelle Pineau (SIGDIAL Conference, 2016)

Towards an automatic Turing test: Learning to evaluate dialogue responses. - Ryan Lowe; Michael Noseworthy; Iulian Vlad Serban; Nicolas Angelard-Gontier; Yoshua Bengio; Joelle Pineau (ICLR (Workshop), 2017)

Predicting Success in Goal-Driven Human-Human Dialogues. - Michael Noseworthy; Jackie Chi Kit Cheung; Joelle Pineau (SIGDIAL Conference, 2017)

The RLLChatbot: a solution to the ConvAI challenge. - Nicolas Gontier; Koustuv Sinha; Peter Henderson 002; Iulian Serban; Michael Noseworthy; Prasanna Parthasarathi; Joelle Pineau (CoRR, 2018)

Leveraging Past References for Robust Language Grounding. - Subhro Roy; Michael Noseworthy; Rohan Paul; Daehyung Park; Nicholas Roy (CoNLL, 2019)

Task-Conditioned Variational Autoencoders for Learning Movement Primitives. - Michael Noseworthy; Rohan Paul; Subhro Roy; Daehyung Park; Nicholas Roy (CoRL, 2019)

Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning. - Daehyung Park; Michael Noseworthy; Rohan Paul; Subhro Roy; Nicholas Roy (CoRL, 2019)

Visual Prediction of Priors for Articulated Object Interaction. - Caris Moses; Michael Noseworthy; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Nicholas Roy (ICRA, 2020)

Active Learning of Abstract Plan Feasibility. - Michael Noseworthy; Isaiah Brand; Caris Moses; Sebastian Castro; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Nicholas Roy (Robotics: Science and Systems, 2021)

Queer In AI: A Case Study in Community-Led Participatory AI. - Organizers Of QueerInAI; Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; et al. (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; Jaidev Shriram; et al. (CoRR, 2023)

Structured Latent Variable Models for Articulated Object Interaction. - Emily Liu; Michael Noseworthy; Nicholas Roy (CoRR, 2023)

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. - Nishad Gothoskar; Matin Ghavami; Eric Li; Aidan Curtis; Michael Noseworthy; Karen Chung; Brian Patton; William T. Freeman; Joshua B. Tenenbaum; Mirko Klukas; Vikash K. Mansinghka (CoRR, 2023)

Amortized Inference for Efficient Grasp Model Adaptation. - Michael Noseworthy; Seiji Shaw; Chad C. Kessens; Nicholas Roy (ICRA, 2024)

FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty. - Michael Noseworthy; Bingjie Tang; Bowen Wen; Ankur Handa; Nicholas Roy; Dieter Fox; Fabio Ramos 001; Yashraj S. Narang; Iretiayo Akinola (CoRR, 2024)

Semi-Supervised Neural Processes for Articulated Object Interactions. - Emily Liu; Michael Noseworthy; Nicholas Roy (CoRR, 2024)

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills. - Aidan Curtis; Eric Li; Michael Noseworthy; Nishad Gothoskar; Sachin Chitta; Hui Li; Leslie Pack Kaelbling; Nicole Carey (CoRR, 2025)

FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation Under Uncertainty. - Michael Noseworthy; Bingjie Tang; Bowen Wen; Ankur Handa; Chad C. Kessens; Nicholas Roy; Dieter Fox; Fabio Ramos 001; Yashraj S. Narang; Iretiayo Akinola (IEEE Robotics Autom. Lett., 2025)