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ORCIDManuela M. Veloso
Manuela Veloso
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2025
[j107]Sumitra Ganesh, Leo Ardon, Daniel Borrajo, Deepeka Garg, Udari Madhushani Sehwag, Annapoorani Lakshmi Narayanan, Giuseppe Canonaco, Manuela M. Veloso:
Generative AI Agents for Knowledge Work Augmentation in Finance. Annu. Rev. Control. Robotics Auton. Syst. 8(1): 189-210 (2025)- [j106]Rongye Shi
, Xin Yu, Yandong Wang, Yongkai Tian, Zhenyu Liu, Wenjun Wu, Xiao-Ping Zhang, Manuela M. Veloso:
Symmetry-Informed MARL: A Decentralized and Cooperative UAV Swarm Control Approach for Communication Coverage. IEEE Trans. Mob. Comput. 24(9): 8039-8056 (2025) - [c467]Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Auditing and Enforcing Conditional Fairness via Optimal Transport. AAAI 2025: 16808-16816 - [c466]Simerjot Kaur, Charese Smiley, Keshav Ramani, Elena Kochkina, Mathieu Sibue, Samuel Mensah, Pietro Totis, Cecilia Tilli, Toyin Aguda, Daniel Borrajo, Manuela Veloso:
Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing. ACL (6) 2025: 813-825 - [c465]Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso:
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. ACL (1) 2025: 20635-20651 - [c464]Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso:
LETS-C: Leveraging Text Embedding for Time Series Classification. ACL (1) 2025: 32365-32399 - [c463]William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso:
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. COLING (Industry) 2025: 583-594 - [c462]Yufei Wu, Manuel R. Torres, Parisa Zehtabi, Alberto Pozanco Lancho, Michael Cashmore, Daniel Borrajo, Manuela Veloso:
The Subset Sum Matching Problem. ECAI 2025: 877-884 - [c461]Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso:
On Learning Action Costs from Input Plans. ECAI 2025: 1527-1534 - [c460]Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lécué, Manuela Veloso:
Interpreting Language Reward Models via Contrastive Explanations. ICLR 2025 - [c459]Leo de Castro, Daniel Escudero, Adya Agrawal, Antigoni Polychroniadou, Manuela Veloso:
EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption. ICML 2025 - [c458]Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso:
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation. ICML 2025 - [c457]Anna Hedström, Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Manuela Veloso:
To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models. ICML 2025 - [c456]Kevin Zhang, Christopher Chang, Shobhit Aggarwal, Manuela Veloso, F. Zeynep Temel, Oliver Kroemer:
Vibrotactile Sensing for Detecting Misalignments in Precision Manufacturing. IROS 2025: 10408-10415 - [c455]Vali Tawosi, Salwa Alamir, Xiaomo Liu, Manuela Veloso:
LLM Agents for Automated Dependency Upgrades. ASEW 2025: 34-37 - [c454]Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso:
A Planning Compilation to Reason About Goal Achievement at Planning Time. KR 2025 - [c453]Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso:
Mixup Regularization: A Probabilistic Perspective. UAI 2025: 1184-1219 - [c452]Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. UAI 2025: 3641-3674 - [i122]Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso:
Mixup Regularization: A Probabilistic Perspective. CoRR abs/2502.13825 (2025) - [i121]Shayleen Reynolds, Saheed Obitayo, Niccolò Dalmasso, Dung Daniel T. Ngo, Vamsi K. Potluru, Manuela Veloso:
Toward Breaking Watermarks in Distortion-free Large Language Models. CoRR abs/2502.18608 (2025) - [i120]Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso:
The Value of Goal Commitment in Planning. CoRR abs/2503.09545 (2025) - [i119]Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso:
TADACap: Time-series Adaptive Domain-Aware Captioning. CoRR abs/2504.11441 (2025) - [i118]Mirazul Haque, Petr Babkin, Farima Farmahinifarahani, Manuela Veloso:
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs. CoRR abs/2505.04441 (2025) - [i117]Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song:
DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation. CoRR abs/2505.21864 (2025) - [i116]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:
GenPlanX. Generation of Plans and Execution. CoRR abs/2506.10897 (2025) - [i115]Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso:
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation. CoRR abs/2506.17039 (2025) - [i114]Elizabeth Fons, Elena Kochkina, Rachneet Kaur, Zhen Zeng, Berowne Hlavaty, Charese Smiley, Svitlana Vyetrenko, Manuela Veloso:
AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation. CoRR abs/2507.00718 (2025) - [i113]Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso:
Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration. CoRR abs/2507.01225 (2025) - [i112]Vali Tawosi, Salwa Alamir, Xiaomo Liu, Manuela Veloso:
Meta-RAG on Large Codebases Using Code Summarization. CoRR abs/2508.02611 (2025) - [i111]Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso:
Planning with Minimal Disruption. CoRR abs/2508.15358 (2025) - [i110]Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso:
QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting. CoRR abs/2508.16697 (2025) - [i109]Yufei Wu, Manuel R. Torres, Parisa Zehtabi, Alberto Pozanco, Michael Cashmore, Daniel Borrajo, Manuela Veloso:
The Subset Sum Matching Problem. CoRR abs/2508.19218 (2025) - [i108]Vali Tawosi, Salwa Alamir, Xiaomo Liu, Manuela Veloso:
LLM Agents for Automated Dependency Upgrades. CoRR abs/2510.03480 (2025) - [i107]Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Sumitra Ganesh, Manuela Veloso:
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering. CoRR abs/2510.04514 (2025) - [i106]Penghang Liu, Elizabeth Fons, Svitlana Vyetrenko, Daniel Borrajo, Vamsi K. Potluru, Manuela Veloso:
TS-Agent: A Time Series Reasoning Agent with Iterative Statistical Insight Gathering. CoRR abs/2510.07432 (2025) - [i105]Anna Hedström, Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Manuela Veloso:
To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models. CoRR abs/2510.13290 (2025) - [i104]Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso:
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration. CoRR abs/2512.08104 (2025) - [i103]Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso:
Perturb Your Data: Paraphrase-Guided Training Data Watermarking. CoRR abs/2512.17075 (2025) - [i102]Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso:
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration. IACR Cryptol. ePrint Arch. 2025: 2216 (2025) - 2024
- [j105]Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang:
Explainable Reinforcement Learning: A Survey and Comparative Review. ACM Comput. Surv. 56(7): 168:1-168:36 (2024) - [j104]Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso:
Capacity planning and scheduling for jobs with uncertainty in resource usage and duration. J. Supercomput. 80(15): 22428-22461 (2024) - [c451]Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI 2024: 16120-16128 - [c450]Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. AAAI 2024: 20786-20793 - [c449]Mattia Jacopo Villani, Emanuele Albini, Shubham Sharma, Saumitra Mishra, Salim Ibrahim Amoukou, Daniele Magazzeni, Manuela Veloso:
PICE: Polyhedral Complex Informed Counterfactual Explanations. AIES (1) 2024: 1502-1513 - [c448]Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song:
Flow as the Cross-domain Manipulation Interface. CoRL 2024: 2475-2499 - [c447]Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Temporal Fairness in Decision Making Problems. ECAI 2024: 1132-1139 - [c446]Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso:
"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs. EMNLP (Findings) 2024: 13162-13185 - [c445]Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko:
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. EMNLP 2024: 21598-21634 - [c444]Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso:
TADACap: Time-series Adaptive Domain-Aware Captioning. ICAIF 2024: 54-62 - [c443]Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso:
Counterfactual Metarules for Local and Global Recourse. ICML 2024: 3707-3724 - [c442]Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso:
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. ICML 2024: 23238-23255 - [c441]Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso:
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-Processing Matters. IGARSS 2024: 7746-7751 - [c440]Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
Sequential Harmful Shift Detection Without Labels. NeurIPS 2024 - [c439]Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lécué, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Fair Wasserstein Coresets. NeurIPS 2024 - [i101]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:
Synthetic Data Applications in Finance. CoRR abs/2401.00081 (2024) - [i100]Alberto Pozanco, Daniel Borrajo, Manuela Veloso:
On Computing Plans with Uniform Action Costs. CoRR abs/2402.09877 (2024) - [i99]Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values. CoRR abs/2403.08880 (2024) - [i98]Salwa Alamir, Armineh Nourbakhsh, Cecilia Tilli, Sameena Shah, Manuela Veloso:
Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic. CoRR abs/2403.09260 (2024) - [i97]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso:
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR abs/2403.11047 (2024) - [i96]Daniel Borrajo, Manuela Veloso:
Intelligent Execution through Plan Analysis. CoRR abs/2403.12162 (2024) - [i95]Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso:
Six Levels of Privacy: A Framework for Financial Synthetic Data. CoRR abs/2403.14724 (2024) - [i94]Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. CoRR abs/2403.16667 (2024) - [i93]Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso:
FlowMind: Automatic Workflow Generation with LLMs. CoRR abs/2404.13050 (2024) - [i92]Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso:
Counterfactual Metarules for Local and Global Recourse. CoRR abs/2405.18875 (2024) - [i91]Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso:
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR abs/2406.02625 (2024) - [i90]William Watson, Nicole Cho, Tucker Balch, Manuela Veloso:
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. CoRR abs/2406.10803 (2024) - [i89]Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso:
LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR abs/2407.06533 (2024) - [i88]Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR abs/2407.13625 (2024) - [i87]Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song:
Flow as the Cross-Domain Manipulation Interface. CoRR abs/2407.15208 (2024) - [i86]Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso:
On Learning Action Costs from Input Plans. CoRR abs/2408.10889 (2024) - [i85]Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Temporal Fairness in Decision Making Problems. CoRR abs/2408.13208 (2024) - [i84]Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso:
Ensemble Methods for Sequence Classification with Hidden Markov Models. CoRR abs/2409.07619 (2024) - [i83]Dung Daniel T. Ngo, Daniel Scott, Saheed Obitayo, Vamsi K. Potluru, Manuela Veloso:
Adaptive and Robust Watermark for Generative Tabular Data. CoRR abs/2409.14700 (2024) - [i82]Natraj Raman, Sumitra Ganesh, Manuela Veloso:
Scalable Representation Learning for Multimodal Tabular Transactions. CoRR abs/2410.07851 (2024) - [i81]Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Auditing and Enforcing Conditional Fairness via Optimal Transport. CoRR abs/2410.14029 (2024) - [i80]Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso:
"What is the value of {templates}?" Rethinking Document Information Extraction Datasets for LLMs. CoRR abs/2410.15484 (2024) - [i79]Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal, Nelson Vadori, Manuela Veloso:
Learning Mathematical Rules with Large Language Models. CoRR abs/2410.16973 (2024) - [i78]Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso:
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters. CoRR abs/2410.22150 (2024) - [i77]Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso:
Behavioral Sequence Modeling with Ensemble Learning. CoRR abs/2411.02174 (2024) - [i76]Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso:
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. CoRR abs/2411.13451 (2024) - [i75]Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lécué, Manuela Veloso:
Interpreting Language Reward Models via Contrastive Explanations. CoRR abs/2411.16502 (2024) - [i74]William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso:
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. CoRR abs/2412.11063 (2024) - [i73]Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
Sequential Harmful Shift Detection Without Labels. CoRR abs/2412.12910 (2024) - 2023
- [j103]Robert E. Tillman, Tucker Balch, Manuela Veloso:
Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection. Trans. Mach. Learn. Res. 2023 (2023) - [c438]Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. AIES 2023: 443-453 - [c437]Alberto Pozanco, Kassiani Papasotiriou, Daniel Borrajo, Manuela Veloso:
Combining Heuristic Search and Linear Programming to Compute Realistic Financial Plans. ICAPS 2023: 527-531 - [c436]Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song:
XSkill: Cross Embodiment Skill Discovery. CoRL 2023: 3536-3555 - [c435]Alberto Pozanco, Daniel Borrajo, Manuela Veloso:
Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation. ECAI 2023: 1898-1905 - [c434]William Watson, Nicole Cho, Tucker Balch, Manuela Veloso:
HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. EMNLP 2023: 7144-7159 - [c433]Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso:
FlowMind: Automatic Workflow Generation with LLMs. ICAIF 2023: 73-81 - [c432]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso:
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. ICAIF 2023: 82-90 - [c431]Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF 2023: 463-471 - [c430]Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. ICAIF 2023: 498-506 - [c429]Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Differentially private synthetic data using KD-trees. UAI 2023: 1143-1153 - [c428]Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso:
Prime Match: A Privacy-Preserving Inventory Matching System. USENIX Security Symposium 2023: 6417-6434 - [i72]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso:
Financial Time Series Forecasting using CNN and Transformer. CoRR abs/2304.04912 (2023) - [i71]Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Differentially Private Synthetic Data Using KD-Trees. CoRR abs/2306.13211 (2023) - [i70]Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models. CoRR abs/2307.08816 (2023) - [i69]Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song:
XSkill: Cross Embodiment Skill Discovery. CoRR abs/2307.09955 (2023) - [i68]Saba Rahimi, Tucker Balch, Manuela Veloso:
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test. CoRR abs/2308.11827 (2023) - [i67]Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. CoRR abs/2309.16741 (2023) - [i66]Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso:
Prime Match: A Privacy-Preserving Inventory Matching System. CoRR abs/2310.09621 (2023) - [i65]Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR abs/2311.00109 (2023) - [i64]Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Fair Wasserstein Coresets. CoRR abs/2311.05436 (2023) - [i63]Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso:
Prime Match: A Privacy-Preserving Inventory Matching System. IACR Cryptol. ePrint Arch. 2023: 400 (2023) - 2022
- [j102]Kim Baraka, Marta Couto, Francisco S. Melo, Ana Paiva, Manuela Veloso:
"Sequencing Matters": Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy. Frontiers Robotics AI 9: 784249 (2022) - [j101]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic document generator for annotation-free layout recognition. Pattern Recognit. 128: 108660 (2022) - [c427]Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. AAMAS 2022: 1527-1529 - [c426]Aviram Aviv, Yaniv Oshrat, Samuel Assefa, Toby Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. EUMAS 2022: 41-59 - [c425]Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso:
Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF 2022: 506-513 - [c424]Mengda Xu, Manuela Veloso, Shuran Song:
ASPiRe: Adaptive Skill Priors for Reinforcement Learning. NeurIPS 2022 - [c423]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure and Semantics Preserving Document Representations. SIGIR 2022: 780-790 - [i62]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR abs/2201.03720 (2022) - [i61]Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso:
Bandit Sampling for Multiplex Networks. CoRR abs/2202.03621 (2022) - [i60]Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang:
A Survey of Explainable Reinforcement Learning. CoRR abs/2202.08434 (2022) - [i59]Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Differentially Private Learning of Hawkes Processes. CoRR abs/2207.13741 (2022) - [i58]Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso:
Online Learning for Mixture of Multivariate Hawkes Processes. CoRR abs/2208.07961 (2022) - [i57]Mengda Xu, Manuela Veloso, Shuran Song:
ASPiRe: Adaptive Skill Priors for Reinforcement Learning. CoRR abs/2209.15205 (2022) - [i56]Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso:
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR abs/2210.07184 (2022) - [i55]Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso:
Towards learning to explain with concept bottleneck models: mitigating information leakage. CoRR abs/2211.03656 (2022) - [i54]Joshua Lockhart, Daniele Magazzeni, Manuela Veloso:
Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions. CoRR abs/2211.11690 (2022) - [i53]Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR abs/2212.06081 (2022) - 2021
- [j100]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. 6(3): 5873-5880 (2021) - [j99]Rongye Shi, Peter Steenkiste, Manuela M. Veloso:
Improving the On-Vehicle Experience of Passengers Through SC-M*: A Scalable Multi-Passenger Multi-Criteria Mobility Planner. IEEE Trans. Intell. Transp. Syst. 22(2): 1026-1040 (2021) - [c422]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI 2021: 9923-9931 - [c421]Daniel Borrajo, Manuela Veloso:
Computing Opportunities to Augment Plans for Novel Replanning during Execution. ICAPS 2021: 51-55 - [c420]Pedro Ildefonso, Pedro Remédios, Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning. EPIA 2021: 405-417 - [c419]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS 2021 - [c418]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to classify and imitate trading agents in continuous double auction markets. ICAIF 2021: 21:1-21:8 - [c417]Srijan Sood, Zhen Zeng, Naftali Cohen, Tucker Balch, Manuela Veloso:
Visual time series forecasting: an image-driven approach. ICAIF 2021: 22:1-22:9 - [c416]Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets. ICAIF 2021: 30:1-30:9 - [c415]Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso:
Tradeoffs in streaming binary classification under limited inspection resources. ICAIF 2021: 36:1-36:9 - [c414]Zhen Zeng, Tucker Balch, Manuela Veloso:
Deep video prediction for time series forecasting. ICAIF 2021: 39:1-39:7 - [c413]Daniel Borrajo, Manuela Veloso:
Intelligent Execution through Plan Analysis. IROS 2021: 3162-3167 - [c412]Ishani Chatterjee, Yash Oza, Maxim Likhachev, Manuela Veloso:
Search-based Planning with Learned Behaviors for Navigation among Pedestrians. IROS 2021: 7953-7960 - [c411]Pragna Mannam, Avi Rudich, Kevin Zhang, Manuela Veloso, Oliver Kroemer, Fatma Zeynep Temel:
A Low-Cost Compliant Gripper Using Cooperative Mini-Delta Robots for Dexterous Manipulation. Robotics: Science and Systems 2021 - [i52]Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer:
Playing with Food: Learning Food Item Representations through Interactive Exploration. CoRR abs/2101.02252 (2021) - [i51]Zhen Zeng, Tucker Balch, Manuela Veloso:
Deep Video Prediction for Time Series Forecasting. CoRR abs/2102.12061 (2021) - [i50]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR abs/2102.12633 (2021) - [i49]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR abs/2102.13045 (2021) - [i48]Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. CoRR abs/2105.03986 (2021) - [i47]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. CoRR abs/2105.10133 (2021) - [i46]Mahmoud Mahfouz,