Julie Shah

73 papers A* 20A 3B 2Misc 4Journal 38Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Learning Contextually-Adaptive Rewards via Calibrated Features.
HRI
Alexandra Forsey-Smerek, Julie Shah, Andreea Bobu
2025 B conf
Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC.
RO-MAN
Ane San Martín, Michael Hagenow, Julie Shah, Johan Kildal, Elena Lazkano
2025 J jnl
Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC.
CoRR
Ane San Martín, Michael Hagenow, Julie Shah, Johan Kildal, Elena Lazkano
2025 J jnl
Context Matters: Learning Generalizable Rewards via Calibrated Features.
CoRR
Alexandra Forsey-Smerek, Julie Shah, Andreea Bobu
2025 A* conf
Inference-Time Policy Steering Through Human Interactions.
ICRA
Yanwei Wang, Lirui Wang, Yilun Du, Balakumar Sundaralingam, Xuning Yang, Yu-Wei Chao, Claudia Pérez-D'Arpino, Dieter Fox, Julie Shah
2025 A* conf
Questioning the Robot: Using Human Non-verbal Cues to Estimate the Need for Explanations.
HRI
Dimosthenis Kontogiorgos, Julie Shah
2025 A* ed.
Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2025, Philadelphia, PA, USA, February 25 - March 4, 2025
AAAI
Toby Walsh, Julie Shah, Zico Kolter
2025 A conf
Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection.
IROS
Michael Hagenow, Dimosthenis Kontogiorgos, Yanwei Wang, Julie Shah
2024 Misc conf
Adaptive Language-Guided Abstraction from Contrastive Explanations.
CoRL
Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu
2024 A* conf
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations.
ICLR
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
2024 J jnl
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations.
CoRR
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
2024 J jnl
Inference-Time Policy Steering through Human Interactions.
CoRR
Yanwei Wang, Lirui Wang, Yilun Du, Balakumar Sundaralingam, Xuning Yang, Yu-Wei Chao, Claudia Pérez-D'Arpino, Dieter Fox, Julie Shah
2024 A* conf
Learning with Language-Guided State Abstractions.
ICLR
Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah
2024 A* conf
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration.
CHI
Eike Schneiders, Christopher K. Fourie, Stanley Celestin, Julie Shah, Malte F. Jung
2024 J jnl
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration.
CoRR
Eike Schneiders, Christopher K. Fourie, Stanley Celestin, Julie Shah, Malte F. Jung
2024 J jnl
Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection.
CoRR
Michael Hagenow, Dimosthenis Kontogiorgos, Yanwei Wang, Julie Shah
2023 J jnl
Aligning Robot and Human Representations.
CoRR
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan
2023 J jnl
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff.
CoRR
Lindsay Sanneman, Mycal Tucker, Julie Shah
2023 A* conf
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation.
ICML
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
2023 J jnl
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation.
CoRR
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
2023 J jnl
Human-Guided Complexity-Controlled Abstractions.
CoRR
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah
2023 J jnl
Supervised Bayesian specification inference from demonstrations.
Int. J. Robotics Res.
Ankit Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah
2023 A* conf
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.
AAAI
Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi
2023 — conf
The Solvability of Interpretability Evaluation Metrics.
EACL (Findings)
Yilun Zhou, Julie Shah
2023 A* conf
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue.
IJCAI
Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai
2023 J jnl
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue.
CoRR
Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai
2023 A* conf
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes.
ICLR
Eoin M. Kenny, Mycal Tucker, Julie Shah
2023 — conf
Transparent Value Alignment.
HRI (Companion)
Lindsay Sanneman, Julie Shah
2022 J jnl
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence.
CoRR
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller
2022 A* conf
Do Feature Attribution Methods Correctly Attribute Features?
AAAI
Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2022 — conf
ExSum: From Local Explanations to Model Understanding.
NAACL-HLT
Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
2022 J jnl
ExSum: From Local Explanations to Model Understanding.
CoRR
Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
2022 J jnl
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report.
CoRR
Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian K. Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven A. Sloman, Shannon Vallor, Toby Walsh
2022 A* conf
Joint Action, Adaptation, and Entrainment in Human-Robot Interaction.
HRI
Christopher K. Fourie, Nadia Figueroa, Julie Shah, Marta Bienkiewicz, Benoît G. Bardy, Etienne Burdet, Phani-Teja Singamaneni, Rachid Alami, Arianna Curioni, Günther Knoblich, Wafa Johal, Dagmar Sternad, Malte F. Jung
2022 J jnl
Probe-Based Interventions for Modifying Agent Behavior.
CoRR
Mycal Tucker, William Kuhl, Khizer Shahid, Seth Karten, Katia P. Sycara, Julie Shah
2022 J jnl
Prototype Based Classification from Hierarchy to Fairness.
CoRR
Mycal Tucker, Julie Shah
2022 A* conf
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning.
HRI
Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman
2022 Misc conf
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations.
CoRL
Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah
2022 J jnl
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations.
CoRR
Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah
2022 J jnl
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication.
CoRR
Seth Karten, Siddharth Agrawal, Mycal Tucker, Dana Hughes, Michael Lewis, Julie Shah, Katia P. Sycara
2022 J jnl
The Solvability of Interpretability Evaluation Metrics.
CoRR
Yilun Zhou, Julie Shah
2022 J jnl
Towards Human-Agent Communication via the Information Bottleneck Principle.
CoRR
Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky
2022 — conf
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes.
NAACL-HLT
Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah
2022 J jnl
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes.
CoRR
Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah
2021 J jnl
A Bayesian Approach to Identifying Representational Errors.
CoRR
Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah
2021 A* conf
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example.
AAAI
Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah
2021 J jnl
Do Feature Attribution Methods Correctly Attribute Features?
CoRR
Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2021 J jnl
Emergent Discrete Communication in Semantic Spaces.
CoRR
Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie Shah
2021 J jnl
Explaining Reward Functions to Humans for Better Human-Robot Collaboration.
CoRR
Lindsay Sanneman, Julie Shah
2021 Misc conf
RoCUS: Robot Controller Understanding via Sampling.
CoRL
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
2021 J jnl
Supervised Bayesian Specification Inference from Demonstrations.
CoRR
Ankit J. Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah
2021 J jnl
The Irrationality of Neural Rationale Models.
CoRR
Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou
2020 J jnl
Adversarially Guided Self-Play for Adopting Social Conventions.
CoRR
Mycal Tucker, Yilun Zhou, Julie Shah
2020 J jnl
Blind Spot Detection for Safe Sim-to-Real Transfer.
J. Artif. Intell. Res.
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah
2020 J jnl
Interactive Robot Training for Non-Markov Tasks.
CoRR
Ankit Shah, Julie Shah
2020 — conf
Interactive Robot Training for Temporal Tasks.
HRI (Companion)
Ankit J. Shah, Julie Shah
2020 J jnl
Planning With Uncertain Specifications (PUnS).
IEEE Robotics Autom. Lett.
Ankit Shah, Shen Li, Julie Shah
2020 J jnl
RoCUS: Robot Controller Understanding via Sampling.
CoRR
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
2020 J jnl
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach.
CoRR
Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah
2019 A* conf
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations.
IJCAI
Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah
2019 A* conf
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively.
IJCAI
Serena Booth, Christian Muise, Julie Shah
2019 — conf
Learning Household Task Knowledge from WikiHow Descriptions.
SemDeep@IJCAI
Yilun Zhou, Julie Shah, Steven Schockaert
2019 A* conf
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution.
AAAI
Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
2019 J jnl
Planning With Uncertain Specifications (PUnS).
CoRR
Ankit Shah, Shen Li, Julie Shah
2019 A* conf
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness.
WWW
Yilun Zhou, Steven Schockaert, Julie Shah
2019 J jnl
Social Agents for Teamwork and Group Interactions (Dagstuhl Seminar 19411).
Dagstuhl Reports
Elisabeth André, Ana Paiva, Julie Shah, Selma Sabanovic
2018 B conf
A New Model to Enhance Robot-Patient Communication: Applying Insights from the Medical World.
ICSR
Elizabeth Broadbent, Deborah Johanson, Julie Shah
2018 A* conf
Effects of an Adaptive Modality Selection Algorithm for Navigation Systems.
UIST
Kyle Kotowick, Julie Shah
2018 A conf
Modality Switching for Mitigation of Sensory Adaptation and Habituation in Personal Navigation Systems.
IUI
Kyle Kotowick, Julie Shah
2017 A conf
Intelligent Sensory Modality Selection for Electronic Supportive Devices.
IUI
Kyle Kotowick, Julie Shah
2016 J jnl
Implicit Coordination Strategies for Effective Team Communication.
Hum. Factors
Abhizna Butchibabu, Christopher Sparano-Huiban, Liz Sonenberg, Julie Shah
2016 J jnl
Toward a Science of Autonomy for Physical Systems: Paths.
CoRR
Pieter Abbeel, Ken Goldberg, Gregory D. Hager, Julie Shah
2013 Misc conf
Quantitative estimation of the strength of agreements in goal-oriented meetings.
CogSIMA
Been Kim, Larry A. M. Bush, Julie Shah