Andrew Silva - RankMe

42 papers A* 5A 3Misc 2Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Strengths and Weaknesses of Data for Open-set Embodied Assistance. CoRR Pradyumna Tambwekar, Andrew Silva, Deepak Edakkattil Gopinath, Jonathan A. DeCastro, Xiongyi Cui, Guy Rosman
2025	—	`conf`	Enhancing Trust Repair in Driving: The Role of AI Emotional Expression and Perceived Control. ITSC Xinyue Hu, Laporsha Dees, Deepak E. Gopinath, Andrew Silva, Jonathan A. DeCastro, Guy Rosman, Emily Sumner
2025	A*	`conf`	ReGen: Generative Robot Simulation via Inverse Design. ICLR Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus
2025	J	`jnl`	ReGen: Generative Robot Simulation via Inverse Design. CoRR Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus
2025	J	`jnl`	SAFe-Copilot: Unified Shared Autonomy Framework. CoRR Phat Nguyen, Erfan Aasi, Shiva Sreeram, Guy Rosman, Andrew Silva, Sertac Karaman, Daniela Rus
2025	A*	`conf`	Shared Autonomy for Proximal Teaching. HRI Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sarah Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh
2025	J	`jnl`	Shared Autonomy for Proximal Teaching. CoRR Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh
2025	J	`jnl`	SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching. CoRR Emily Sumner, Deepak E. Gopinath, Laporsha Dees, Patricio Reyes Gomez, Xiongyi Cui, Andrew Silva, Jean Costa, Allison Morgan, Mariah Schrum, Tiffany L. Chen, Avinash Balachandran, Guy Rosman
2025	J	`jnl`	Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings. CoRR Ya-Chuan Hsu, Jonathan A. DeCastro, Andrew Silva, Guy Rosman
2025	J	`jnl`	Towards Balancing Preference and Performance through Adaptive Personalized Explainability. CoRR Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
2024	Misc	`conf`	Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. CoRL Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman
2024	J	`jnl`	Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. CoRR Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman
2024	A*	`conf`	Towards Balancing Preference and Performance through Adaptive Personalized Explainability. HRI Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
2023	J	`jnl`	Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. Int. J. Hum. Comput. Interact. Andrew Silva, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay
2023	—	`conf`	FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. EACL (Findings) Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2023	—	`—`	Interactive and Explainable Methods in Machine Learning with Humans. Andrew Silva
2023	J	`jnl`	Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay
2023	J	`jnl`	Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2022	A	`conf`	Cross-Loss Influence Functions to Explain Deep Network Representations. AISTATS Andrew Silva, Rohit Chopra, Matthew C. Gombolay
2022	J	`jnl`	FedEmbed: Personalized Private Federated Learning. CoRR Andrew Silva, Katherine Metcalf, Nicholas Apostoloff, Barry-John Theobald
2022	J	`jnl`	FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. CoRR Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2022	J	`jnl`	LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics Autom. Lett. Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay
2022	—	`conf`	Learning Interpretable, High-Performing Policies for Autonomous Driving. Robotics: Science and Systems Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
2022	J	`jnl`	Learning Interpretable, High-Performing Policies for Continuous Control Problems. CoRR Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
2022	J	`jnl`	Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees. CoRR Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
2022	J	`jnl`	Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees. Auton. Agents Multi Agent Syst. Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
2021	A*	`conf`	Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. AAAI Andrew Silva, Matthew C. Gombolay
2021	J	`jnl`	Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2021	Misc	`conf`	Multimodal Punctuation Prediction with Contextual Dropout. ICASSP Andrew Silva, Barry-John Theobald, Nicholas Apostoloff
2021	J	`jnl`	Multimodal Punctuation Prediction with Contextual Dropout. CoRR Andrew Silva, Barry-John Theobald, Nicholas Apostoloff
2021	—	`conf`	Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. NAACL-HLT Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
2020	A*	`conf`	Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations. NeurIPS Rohan R. Paleja, Andrew Silva, Letian Chen, Matthew C. Gombolay
2020	A	`conf`	Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son
2020	J	`jnl`	Using Cross-Loss Influence Functions to Explain Deep Network Representations. CoRR Andrew Silva, Rohit Chopra, Matthew C. Gombolay
2019	J	`jnl`	Action2Vec: A Crossmodal Embedding Approach to Action Learning. CoRR Meera Hahn, Andrew Silva, James M. Rehg
2019	J	`jnl`	Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. CoRR Rohan R. Paleja, Andrew Silva, Matthew C. Gombolay
2019	J	`jnl`	ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning. CoRR Andrew Silva, Matthew C. Gombolay
2019	J	`jnl`	Safe Coordination of Human-Robot Firefighting Teams. CoRR Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
2019	A	`conf`	Unsupervised Role Discovery Using Temporal Observations of Agents. AAMAS Andrew Silva, Sonia Chernova
2018	J	`jnl`	Effects of Interruptibility-Aware Robot Behavior. CoRR Siddhartha Banerjee, Andrew Silva, Karen M. Feigh, Sonia Chernova
2018	J	`jnl`	Robot Classification of Human Interruptibility and a Study of Its Effects. ACM Trans. Hum. Robot Interact. Siddhartha Banerjee, Andrew Silva, Sonia Chernova
2005	J	`jnl`	Analysis of Nonlinear Input Impedance Matching in Active Frequency Multipliers. IEICE Trans. Inf. Syst. Jessi E. Johnson, Andrew Silva, George R. Branner