Manuela Veloso

238 papers A* 29A 22B 1C 6Misc 4Journal 127Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Manual Planning: Seating Allocation for Large Organizations. CoRR Anton Ipsen, Michael Cashmore, Kirsty Fielding, Nicolas Marchesotti, Parisa Zehtabi, Daniele Magazzeni, Manuela Veloso
2026	—	`conf`	Distill and Align Decomposition for Enhanced Claim Verification. EACL (Findings) Jabez Magomere, Elena Kochkina, Samuel Mensah, Simerjot Kaur, Fernando Acero, Arturo Oncevay, Charese Smiley, Xiaomo Liu, Manuela Veloso
2026	J	`jnl`	Distill and Align Decomposition for Enhanced Claim Verification. CoRR Jabez Magomere, Elena Kochkina, Samuel Mensah, Simerjot Kaur, Fernando Acero, Arturo Oncevay, Charese H. Smiley, Xiaomo Liu, Manuela Veloso
2026	—	`conf`	ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images. EACL (Volume 1: Long Papers) Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, Pranav Shetty, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso
2026	J	`jnl`	ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images. CoRR Mathieu Sibue, Andres Muñoz Garza, Samuel Mensah, Pranav Shetty, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso
2026	J	`jnl`	No One Size Fits All: QueryBandits for Hallucination Mitigation. CoRR Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso
2026	A*	`conf`	Perturb Your Data: Paraphrase-Guided Training Data Watermarking. AAAI Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso
2026	—	`conf`	TASER: Table Agents for Schema-guided Extraction and Recommendation. EACL (Industry Track) Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
2026	J	`jnl`	TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure. CoRR Maxime Kawawa-Beaudan, Srijan Sood, Kassiani Papasotiriou, Daniel Borrajo, Manuela Veloso
2026	—	`conf`	What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance. EACL (Findings) William Watson, Nicole Cho, Sumitra Ganesh, Manuela Veloso
2026	J	`jnl`	What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance. CoRR William Watson, Nicole Cho, Sumitra Ganesh, Manuela Veloso
2025	A*	`conf`	A Planning Compilation to Reason About Goal Achievement at Planning Time. KR Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation. CoRR Elizabeth Fons, Elena Kochkina, Rachneet Kaur, Zhen Zeng, Berowne Hlavaty, Charese Smiley, Svitlana Vyetrenko, Manuela Veloso
2025	—	`conf`	AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. ACL (1) Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso
2025	—	`conf`	Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing. ACL (6) Simerjot Kaur, Charese Smiley, Keshav Ramani, Elena Kochkina, Mathieu Sibue, Samuel Mensah, Pietro Totis, Cecilia Tilli, Toyin Aguda, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration. CoRR Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso
2025	J	`jnl`	AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration. IACR Cryptol. ePrint Arch. Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso
2025	A*	`conf`	Auditing and Enforcing Conditional Fairness via Optimal Transport. AAAI Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025	J	`jnl`	Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration. CoRR Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso
2025	J	`jnl`	ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering. CoRR Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Sumitra Ganesh, Manuela Veloso
2025	J	`jnl`	DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation. CoRR Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song
2025	A	`conf`	Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. UAI Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025	A*	`conf`	EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption. ICML Leo de Castro, Daniel Escudero, Adya Agrawal, Antigoni Polychroniadou, Manuela Veloso
2025	J	`jnl`	GenPlanX. Generation of Plans and Execution. CoRR Daniel Borrajo, Giuseppe Canonaco, Tomás de la Rosa, Alfredo Garrachón Ruiz, Sriram Gopalakrishnan, Simerjot Kaur, Marianela Morales, Sunandita Patra, Alberto Pozanco, Keshav Ramani, Charese Smiley, Pietro Totis, Manuela Veloso
2025	A*	`conf`	Interpreting Language Reward Models via Contrastive Explanations. ICLR Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lécué, Manuela Veloso
2025	—	`conf`	LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. COLING (Industry) William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2025	—	`conf`	LETS-C: Leveraging Text Embedding for Time Series Classification. ACL (1) Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
2025	—	`conf`	LLM Agents for Automated Dependency Upgrades. ASEW Vali Tawosi, Salwa Alamir, Xiaomo Liu, Manuela Veloso
2025	J	`jnl`	LLM Agents for Automated Dependency Upgrades. CoRR Vali Tawosi, Salwa Alamir, Xiaomo Liu, Manuela Veloso
2025	A*	`conf`	LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation. ICML Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso
2025	J	`jnl`	LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation. CoRR Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso
2025	J	`jnl`	Meta-RAG on Large Codebases Using Code Summarization. CoRR Vali Tawosi, Salwa Alamir, Xiaomo Liu, Manuela Veloso
2025	A	`conf`	Mixup Regularization: A Probabilistic Perspective. UAI Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso
2025	J	`jnl`	Mixup Regularization: A Probabilistic Perspective. CoRR Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso
2025	A	`conf`	On Learning Action Costs from Input Plans. ECAI Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	Perturb Your Data: Paraphrase-Guided Training Data Watermarking. CoRR Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso
2025	J	`jnl`	Planning with Minimal Disruption. CoRR Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting. CoRR Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso
2025	J	`jnl`	TADACap: Time-series Adaptive Domain-Aware Captioning. CoRR Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2025	J	`jnl`	TS-Agent: A Time Series Reasoning Agent with Iterative Statistical Insight Gathering. CoRR Penghang Liu, Elizabeth Fons, Svitlana Vyetrenko, Daniel Borrajo, Vamsi K. Potluru, Manuela Veloso
2025	A	`conf`	The Subset Sum Matching Problem. ECAI Yufei Wu, Manuel R. Torres, Parisa Zehtabi, Alberto Pozanco Lancho, Michael Cashmore, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	The Subset Sum Matching Problem. CoRR Yufei Wu, Manuel R. Torres, Parisa Zehtabi, Alberto Pozanco, Michael Cashmore, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	The Value of Goal Commitment in Planning. CoRR Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso
2025	A*	`conf`	To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models. ICML Anna Hedström, Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Manuela Veloso
2025	J	`jnl`	To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models. CoRR Anna Hedström, Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Manuela Veloso
2025	J	`jnl`	Toward Breaking Watermarks in Distortion-free Large Language Models. CoRR Shayleen Reynolds, Saheed Obitayo, Niccolò Dalmasso, Dung Daniel T. Ngo, Vamsi K. Potluru, Manuela Veloso
2025	J	`jnl`	Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs. CoRR Mirazul Haque, Petr Babkin, Farima Farmahinifarahani, Manuela Veloso
2025	A	`conf`	Vibrotactile Sensing for Detecting Misalignments in Precision Manufacturing. IROS Kevin Zhang, Christopher Chang, Shobhit Aggarwal, Manuela Veloso, F. Zeynep Temel, Oliver Kroemer
2024	—	`conf`	"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs. EMNLP (Findings) Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso
2024	J	`jnl`	"What is the value of {templates}?" Rethinking Document Information Extraction Datasets for LLMs. CoRR Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso
2024	A*	`conf`	Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. AAAI Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. CoRR Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Adaptive and Robust Watermark for Generative Tabular Data. CoRR Dung Daniel T. Ngo, Daniel Scott, Saheed Obitayo, Vamsi K. Potluru, Manuela Veloso
2024	J	`jnl`	Auditing and Enforcing Conditional Fairness via Optimal Transport. CoRR Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Behavioral Sequence Modeling with Ensemble Learning. CoRR Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic. CoRR Salwa Alamir, Armineh Nourbakhsh, Cecilia Tilli, Sameena Shah, Manuela Veloso
2024	J	`jnl`	Capacity planning and scheduling for jobs with uncertainty in resource usage and duration. J. Supercomput. Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso
2024	A*	`conf`	Counterfactual Metarules for Local and Global Recourse. ICML Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Counterfactual Metarules for Local and Global Recourse. CoRR Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. CoRR Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Ensemble Methods for Sequence Classification with Hidden Markov Models. CoRR Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso
2024	A*	`conf`	Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. EMNLP Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko
2024	J	`jnl`	Explainable Reinforcement Learning: A Survey and Comparative Review. ACM Comput. Surv. Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
2024	A*	`conf`	Fair Wasserstein Coresets. NeurIPS Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lécué, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	A*	`conf`	FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Flow as the Cross-Domain Manipulation Interface. CoRR Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song
2024	Misc	`conf`	Flow as the Cross-domain Manipulation Interface. CoRL Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song
2024	J	`jnl`	FlowMind: Automatic Workflow Generation with LLMs. CoRR Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
2024	J	`jnl`	From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
2024	J	`jnl`	HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. CoRR William Watson, Nicole Cho, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Intelligent Execution through Plan Analysis. CoRR Daniel Borrajo, Manuela Veloso
2024	J	`jnl`	Interpreting Language Reward Models via Contrastive Explanations. CoRR Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lécué, Manuela Veloso
2024	J	`jnl`	LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. CoRR William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2024	J	`jnl`	LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Learning Mathematical Rules with Large Language Models. CoRR Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal, Nelson Vadori, Manuela Veloso
2024	J	`jnl`	On Computing Plans with Uniform Action Costs. CoRR Alberto Pozanco, Daniel Borrajo, Manuela Veloso
2024	J	`jnl`	On Learning Action Costs from Input Plans. CoRR Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso
2024	—	`conf`	PICE: Polyhedral Complex Informed Counterfactual Explanations. AIES (1) Mattia Jacopo Villani, Emanuele Albini, Shubham Sharma, Saumitra Mishra, Salim Ibrahim Amoukou, Daniele Magazzeni, Manuela Veloso
2024	A*	`conf`	Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. ICML Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values. CoRR Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Scalable Representation Learning for Multimodal Tabular Transactions. CoRR Natraj Raman, Sumitra Ganesh, Manuela Veloso
2024	A*	`conf`	Sequential Harmful Shift Detection Without Labels. NeurIPS Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Sequential Harmful Shift Detection Without Labels. CoRR Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
2024	C	`conf`	Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-Processing Matters. IGARSS Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters. CoRR Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Six Levels of Privacy: A Framework for Financial Synthetic Data. CoRR Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso
2024	J	`jnl`	Synthetic Data Applications in Finance. CoRR Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
2024	—	`conf`	TADACap: Time-series Adaptive Domain-Aware Captioning. ICAIF Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2024	A	`conf`	Temporal Fairness in Decision Making Problems. ECAI Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Temporal Fairness in Decision Making Problems. CoRR Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2023	A*	`conf`	Combining Heuristic Search and Linear Programming to Compute Realistic Financial Plans. ICAPS Alberto Pozanco, Kassiani Papasotiriou, Daniel Borrajo, Manuela Veloso
2023	J	`jnl`	Differentially Private Synthetic Data Using KD-Trees. CoRR Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	A	`conf`	Differentially private synthetic data using KD-trees. UAI Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	—	`conf`	Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	J	`jnl`	Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test. CoRR Saba Rahimi, Tucker Balch, Manuela Veloso
2023	J	`jnl`	Fair Wasserstein Coresets. CoRR Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	J	`jnl`	FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	J	`jnl`	Financial Time Series Forecasting using CNN and Transformer. CoRR Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso
2023	—	`conf`	FlowMind: Automatic Workflow Generation with LLMs. ICAIF Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
2023	—	`conf`	From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. ICAIF Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
2023	A	`conf`	Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation. ECAI Alberto Pozanco, Daniel Borrajo, Manuela Veloso
2023	A*	`conf`	HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. EMNLP William Watson, Nicole Cho, Tucker Balch, Manuela Veloso
2023	—	`conf`	Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. ICAIF Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2023	J	`jnl`	Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. CoRR Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2023	A*	`conf`	Prime Match: A Privacy-Preserving Inventory Matching System. USENIX Security Symposium Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
2023	J	`jnl`	Prime Match: A Privacy-Preserving Inventory Matching System. CoRR Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
2023	J	`jnl`	Prime Match: A Privacy-Preserving Inventory Matching System. IACR Cryptol. ePrint Arch. Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
2023	J	`jnl`	Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection. Trans. Mach. Learn. Res. Robert E. Tillman, Tucker Balch, Manuela Veloso
2023	C	`conf`	REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. AIES Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
2023	J	`jnl`	Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models. CoRR Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2023	Misc	`conf`	XSkill: Cross Embodiment Skill Discovery. CoRL Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song
2023	J	`jnl`	XSkill: Cross Embodiment Skill Discovery. CoRR Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song
2022	J	`jnl`	"Sequencing Matters": Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy. Frontiers Robotics AI Kim Baraka, Marta Couto, Francisco S. Melo, Ana Paiva, Manuela Veloso
2022	J	`jnl`	A Survey of Explainable Reinforcement Learning. CoRR Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
2022	A*	`conf`	ASPiRe: Adaptive Skill Priors for Reinforcement Learning. NeurIPS Mengda Xu, Manuela Veloso, Shuran Song
2022	J	`jnl`	ASPiRe: Adaptive Skill Priors for Reinforcement Learning. CoRR Mengda Xu, Manuela Veloso, Shuran Song
2022	A	`conf`	Advising Agent for Service-Providing Live-Chat Operators. AAMAS Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus
2022	C	`conf`	Advising Agent for Service-Providing Live-Chat Operators. EUMAS Aviram Aviv, Yaniv Oshrat, Samuel Assefa, Toby Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus
2022	J	`jnl`	Differentially Private Learning of Hawkes Processes. CoRR Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022	J	`jnl`	Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022	J	`jnl`	Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions. CoRR Joshua Lockhart, Daniele Magazzeni, Manuela Veloso
2022	—	`conf`	Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso
2022	J	`jnl`	Online Learning for Mixture of Multivariate Hawkes Processes. CoRR Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
2022	A*	`conf`	Structure and Semantics Preserving Document Representations. SIGIR Natraj Raman, Sameena Shah, Manuela Veloso
2022	J	`jnl`	Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR Natraj Raman, Sameena Shah, Manuela Veloso
2022	J	`jnl`	Synthetic document generator for annotation-free layout recognition. Pattern Recognit. Natraj Raman, Sameena Shah, Manuela Veloso
2022	J	`jnl`	Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
2022	J	`jnl`	Towards learning to explain with concept bottleneck models: mitigating information leakage. CoRR Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso
2021	—	`conf`	A Low-Cost Compliant Gripper Using Cooperative Mini-Delta Robots for Dexterous Manipulation. Robotics: Science and Systems Pragna Mannam, Avi Rudich, Kevin Zhang, Manuela Veloso, Oliver Kroemer, Fatma Zeynep Temel
2021	J	`jnl`	ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets. CoRR Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2021	—	`conf`	ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets. ICAIF Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2021	J	`jnl`	Advising Agent for Service-Providing Live-Chat Operators. CoRR Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus
2021	A*	`conf`	Computing Opportunities to Augment Plans for Novel Replanning during Execution. ICAPS Daniel Borrajo, Manuela Veloso
2021	J	`jnl`	Deep Video Prediction for Time Series Forecasting. CoRR Zhen Zeng, Tucker Balch, Manuela Veloso
2021	—	`conf`	Deep video prediction for time series forecasting. ICAIF Zhen Zeng, Tucker Balch, Manuela Veloso
2021	Misc	`conf`	Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
2021	Misc	`conf`	Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning. EPIA Pedro Ildefonso, Pedro Remédios, Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
2021	J	`jnl`	How Robust are Limit Order Book Representations under Data Perturbation? CoRR Yufei Wu, Mahmoud Mahfouz, Daniele Magazzeni, Manuela Veloso
2021	A	`conf`	Intelligent Execution through Plan Analysis. IROS Daniel Borrajo, Manuela Veloso
2021	A*	`conf`	Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
2021	J	`jnl`	Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
2021	J	`jnl`	Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets. CoRR Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
2021	—	`conf`	Learning to classify and imitate trading agents in continuous double auction markets. ICAIF Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
2021	J	`jnl`	Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
2021	J	`jnl`	Parameterized Explanations for Investor / Company Matching. CoRR Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
2021	J	`jnl`	Playing with Food: Learning Food Item Representations through Interactive Exploration. CoRR Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer
2021	A	`conf`	Search-based Planning with Learned Behaviors for Navigation among Pedestrians. IROS Ishani Chatterjee, Yash Oza, Maxim Likhachev, Manuela Veloso
2021	J	`jnl`	Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer
2021	J	`jnl`	Synthetic Document Generator for Annotation-free Layout Recognition. CoRR Natraj Raman, Sameena Shah, Manuela Veloso
2021	J	`jnl`	Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
2021	J	`jnl`	Tradeoffs in Streaming Binary Classification under Limited Inspection Resources. CoRR Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
2021	—	`conf`	Tradeoffs in streaming binary classification under limited inspection resources. ICAIF Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
2021	—	`conf`	Visual time series forecasting: an image-driven approach. ICAIF Srijan Sood, Zhen Zeng, Naftali Cohen, Tucker Balch, Manuela Veloso
2021	J	`jnl`	Waiting Tables as a Robot Planning Problem. CoRR Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
2020	A*	`conf`	AI for Intelligent Financial Services: Examples and Discussion. KDD Manuela Veloso
2020	J	`jnl`	AI pptX: Robust Continuous Learning for Document Generation with AI Insights. CoRR Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant P. Reddy, Manuela Veloso
2020	A*	`conf`	Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. NeurIPS Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. CoRR Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Domain-independent generation and classification of behavior traces. CoRR Daniel Borrajo, Manuela Veloso
2020	A*	`conf`	Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
2020	—	`conf`	Generating synthetic data in finance: opportunities, challenges and pitfalls. ICAIF Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso
2020	—	`conf`	Get real: realism metrics for robust limit order book market simulations. ICAIF Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch
2020	J	`jnl`	Guaranteeing Reproducibility in Deep Learning Competitions. CoRR Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov
2020	A	`conf`	Heuristics for Link Prediction in Multiplex Networks. ECAI Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Latent Bayesian Inference for Robust Earnings Estimates. CoRR Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
2020	A	`conf`	Localization and Force-Feedback with Soft Magnetic Stickers for Precise Robot Manipulation. IROS Tess Lee Hellebrekers, Kevin Zhang, Manuela Veloso, Oliver Kroemer, Carmel Majidi
2020	J	`jnl`	Optimal action sequence generation for assistive agents in fixed horizon tasks. Auton. Agents Multi Agent Syst. Kim Baraka, Francisco S. Melo, Marta Couto, Manuela Veloso
2020	—	`conf`	Paying down metadata debt: learning the representation of concepts using topic models. ICAIF Jiahao Chen, Manuela Veloso
2020	J	`jnl`	Paying down metadata debt: learning the representation of concepts using topic models. CoRR Jiahao Chen, Manuela Veloso
2020	A	`conf`	Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. AAMAS Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
2020	—	`conf`	Playing with Food: Learning Food Item Representations Through Interactive Exploration. ISER Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer
2020	A	`conf`	Privacy-Preserving Dark Pools. AAMAS Gilad Asharov, Tucker Hybinette Balch, Antigoni Polychroniadou, Manuela Veloso
2020	—	`conf`	Recommending missing and suspicious links in multiplex financial networks. ICAIF Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020	—	`conf`	Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. ICAIF Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Robust Document Representations using Latent Topics and Metadata. CoRR Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
2020	J	`jnl`	SURF: Improving classifiers in production by learning from busy and noisy end users. CoRR Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
2020	—	`conf`	SURF: improving classifiers in production by learning from busy and noisy end users. ICAIF Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
2020	—	`conf`	Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. ICAIF Daniel Borrajo, Manuela Veloso, Sameena Shah
2020	J	`jnl`	Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. CoRR Daniel Borrajo, Manuela Veloso, Sameena Shah
2020	J	`jnl`	Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. CoRR Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso
2020	A	`conf`	Tensor Action Spaces for Multi-agent Robot Transfer Learning. IROS Devin Schwab, Yifeng Zhu, Manuela Veloso
2020	—	`conf`	Trading via image classification. ICAIF Naftali Cohen, Tucker Balch, Manuela Veloso
2020	J	`jnl`	Using Pre-Computed Knowledge for Goal Allocation in Multi-Agent Planning. J. Intell. Robotic Syst. Nerea Luis, Tiago Raul Pereira, Susana Fernández, António Moreira, Daniel Borrajo, Manuela Veloso
2020	J	`jnl`	Visual Forecasting of Time Series with Image-to-Image Regression. CoRR Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso
2019	B	`conf`	A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
2019	J	`jnl`	A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
2019	A*	`conf`	A Theoretical and Algorithmic Analysis of Configurable MDPs. ICAPS Rui Silva, Gabriele Farina, Francisco S. Melo, Manuela Veloso
2019	A	`conf`	An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. AAMAS Kim Baraka, Marta Couto, Francisco S. Melo, Manuela Veloso
2019	J	`jnl`	Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. CoRR Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso
2019	J	`jnl`	Detection and correction of subtle context-dependent robot model inaccuracies using parametric regions. Int. J. Robotics Res. Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso
2019	A*	`conf`	Generation of Policy-Level Explanations for Reinforcement Learning. AAAI Nicholay Topin, Manuela Veloso
2019	J	`jnl`	Generation of Policy-Level Explanations for Reinforcement Learning. CoRR Nicholay Topin, Manuela Veloso
2019	J	`jnl`	Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch
2019	J	`jnl`	Interactive robots with model-based 'autism-like' behaviors. Paladyn J. Behav. Robotics Kim Baraka, Francisco S. Melo, Manuela Veloso
2019	A*	`conf`	Learning Primitive Skills for Mobile Robots. ICRA Yifeng Zhu, Devin Schwab, Manuela Veloso
2019	—	`conf`	Leveraging Multimodal Haptic Sensory Data for Robust Cutting. Humanoids Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer
2019	J	`jnl`	Leveraging Multimodal Haptic Sensory Data for Robust Cutting. CoRR Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer
2019	A*	`conf`	MineRL: A Large-Scale Dataset of Minecraft Demonstrations. IJCAI William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov
2019	J	`jnl`	MineRL: A Large-Scale Dataset of Minecraft Demonstrations. CoRR William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov
2019	J	`jnl`	Model-Based Adaptation for Robotics Software. IEEE Softw. Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi
2019	J	`jnl`	Optimal Perception Planning with Informed Heuristics Constructed from Visibility Maps. J. Intell. Robotic Syst. Tiago Raul de Sousa Pereira, António Paulo Moreira, Manuela Veloso
2019	J	`jnl`	Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning. CoRR Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
2019	A	`ed.`	Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019 AAMAS Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor
2019	J	`jnl`	Reinforcement Learning for Market Making in a Multi-agent Dealer Market. CoRR Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso
2019	J	`jnl`	RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight]. IEEE Robotics Autom. Mag. Minoru Asada, Peter Stone, Manuela Veloso, Daniel D. Lee, Daniele Nardi
2019	A*	`conf`	Speeding Up Search-Based Motion Planning via Conservative Heuristics. ICAPS Ishani Chatterjee, Maxim Likhachev, Ashwin Khadke, Manuela Veloso
2019	J	`jnl`	The Effect of Visual Design in Image Classification. CoRR Naftali Cohen, Tucker Balch, Manuela Veloso
2019	J	`jnl`	The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR William H. Guss, Cayden R. Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang
2019	J	`jnl`	Trading via Image Classification. CoRR Naftali Cohen, Tucker Balch, Manuela Veloso
2018	A	`conf`	A Rationale-Driven Team Plan Representation for Autonomous Intra-Robot Replanning IROS Philip Cooksey, Manuela Veloso
2018	—	`conf`	Classifier Labels as Language Grounding for Explanations. GCAI Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal
2018	—	`conf`	Classifier-Based Evaluation of Image Feature Importance. GCAI Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal
2018	—	`conf`	Generating Synthetic Passenger Data through Joint Traffic-Passenger Modeling and Simulation. ITSC Rongye Shi, Peter Steenkiste, Manuela Veloso
2018	C	`conf`	Inferring Capabilities by Experimentation. IAS Ashwin Khadke, Manuela Veloso
2018	—	`conf`	Interpretability of a Service Robot: Enabling User Questions and Checkable Answers. GCAI Vittorio Perera, Manuela Veloso
2018	C	`conf`	Learning Skills for Small Size League RoboCup. RoboCup Devin Schwab, Yifeng Zhu, Manuela Veloso
2018	—	`conf`	Multi-Armed Bandit Algorithms for a Mobile Service Robot's Spare Time in a Structured Environment. GCAI Max Korein, Manuela Veloso
2018	C	`conf`	Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup Robin Schmucker, Chenghui Zhou, Manuela Veloso
2018	J	`jnl`	Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. CoRR Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domenec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja J. Mataric, Eduard Fosch-Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesús Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca
2018	A	`conf`	Robot-driven Trajectory Improvement for Feeding Tasks. IROS Travers Rhodes, Manuela Veloso
2018	A	`conf`	Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots. IROS João Cartucho, Rodrigo Ventura, Manuela Veloso
2018	A	`conf`	Teaching Robots to Predict Human Motion. IROS Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso
2018	—	`conf`	Vision Augmented Robot Feeding. ECCV Workshops (6) Alexandre Candeias, Travers Rhodes, Manuel Marques, João Paulo Costeira, Manuela Veloso
2018	—	`conf`	What if the World Were Different? Gradient-Based Exploration for New Optimal Policies. GCAI Rui Silva, Francisco S. Melo, Manuela Veloso
2016	J	`jnl`	Detection of Subtle Context-Dependent Model Inaccuracies in High-Dimensional Robot Domains. Big Data Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso
2014	—	`conf`	A Few Issues on Human-Robot Interaction for Multiple Persistent Service Mobile Robots. AAAI Fall Symposia Manuela Veloso
2014	—	`conf`	Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets. AAAI Fall Symposia Aijun Bai, Reid G. Simmons, Manuela Veloso, Xiaoping Chen
2014	—	`conf`	Task Based Dialog For Service Mobile Robot. AAAI Fall Symposia Vittorio Perera, Manuela Veloso
2008	—	`conf`	Analysis of Multi-robot Play Effectiveness and of Distributed Incidental Play Recognition. DARS Colin McMillen, Manuela Veloso
2008	—	`conf`	Analyzing Multi-agent Activity Logs Using Process Mining Techniques. DARS Anne Rozinat, Stefan Zickler, Manuela Veloso, Wil M. P. van der Aalst, Colin McMillen
2006	—	`conf`	Distributed, Play-Based Role Assignment for Robot Teams in Dynamic Environments. DARS Colin McMillen, Manuela Veloso
2006	—	`conf`	What to Communicate? Execution-Time Decision in Multi-agent POMDPs. DARS Maayan Roth, Reid G. Simmons, Manuela Veloso
2004	—	`conf`	Opportunities for Learning in Multi-Agent Meeting Scheduling. AAAI Technical Report (2) Elisabeth Crawford, Manuela Veloso
2002	—	`conf`	An Empirical Study of Coaching. DARS Patrick Riley, Manuela Veloso, Gal A. Kaminka
1998	J	`jnl`	CMUnited: a team of robotics soccer agents collaborating in an adversarial environment. XRDS Manuela Veloso, Peter Stone, Kwun Han, Sorin Achim