Manuela Veloso

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 154

Top Venues

Publications

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 (2024)
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI (2024)
Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
Explainable Reinforcement Learning: A Survey and Comparative Review. ACM Comput. Surv. 56 (7) (2024)
Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song
Flow as the Cross-Domain Manipulation Interface. CoRR (2024)
Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. CoRR (2024)
Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso
Counterfactual Metarules for Local and Global Recourse. CoRR (2024)
Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. AAAI (2024)
Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso
Six Levels of Privacy: A Framework for Financial Synthetic Data. CoRR (2024)
Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR (2024)
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
FlowMind: Automatic Workflow Generation with LLMs. CoRR (2024)
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 (2024)
Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR (2024)
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 (2024)
Daniel Borrajo, Manuela Veloso
Intelligent Execution through Plan Analysis. CoRR (2024)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR (2024)
Alberto Pozanco, Daniel Borrajo, Manuela Veloso
On Computing Plans with Uniform Action Costs. CoRR (2024)
Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values. CoRR (2024)
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR (2024)
Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. AIES (2023)
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)
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
FlowMind: Automatic Workflow Generation with LLMs. ICAIF (2023)
Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song
XSkill: Cross Embodiment Skill Discovery. CoRL (2023)
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)
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)
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 (2023)
Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song
XSkill: Cross Embodiment Skill Discovery. CoRR (2023)
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially private synthetic data using KD-trees. UAI (2023)
Alberto Pozanco, Daniel Borrajo, Manuela Veloso
Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation. ECAI (2023)
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Synthetic Data Using KD-Trees. CoRR (2023)
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)
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR (2023)
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)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso
Financial Time Series Forecasting using CNN and Transformer. CoRR (2023)
Alberto Pozanco, Kassiani Papasotiriou, Daniel Borrajo, Manuela Veloso
Combining Heuristic Search and Linear Programming to Compute Realistic Financial Plans. ICAPS (2023)
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 (2023)
Robert E. Tillman, Tucker Balch, Manuela Veloso
Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection. Trans. Mach. Learn. Res. 2023 (2023)
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 (2023)
Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Fair Wasserstein Coresets. CoRR (2023)
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 (2023)
Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models. CoRR (2023)
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)
Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso
Towards learning to explain with concept bottleneck models: mitigating information leakage. CoRR (2022)
Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR (2022)
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 (2022)
Natraj Raman, Sameena Shah, Manuela Veloso
Structure and Semantics Preserving Document Representations. SIGIR (2022)
Mengda Xu, Manuela Veloso, Shuran Song
ASPiRe: Adaptive Skill Priors for Reinforcement Learning. CoRR (2022)
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
Online Learning for Mixture of Multivariate Hawkes Processes. CoRR (2022)
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)
Natraj Raman, Sameena Shah, Manuela Veloso
Synthetic document generator for annotation-free layout recognition. Pattern Recognit. 128 (2022)
Mengda Xu, Manuela Veloso, Shuran Song
ASPiRe: Adaptive Skill Priors for Reinforcement Learning. NeurIPS (2022)
Aviram Aviv, Yaniv Oshrat, Samuel Assefa, Toby Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus
Advising Agent for Service-Providing Live-Chat Operators. EUMAS (2022)
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 (2022)
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 (2022)
Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Learning of Hawkes Processes. CoRR (2022)
Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
A Survey of Explainable Reinforcement Learning. CoRR (2022)
Natraj Raman, Sameena Shah, Manuela Veloso
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR (2022)
Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
Learning to classify and imitate trading agents in continuous double auction markets. ICAIF (2021)
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
Waiting Tables as a Robot Planning Problem. CoRR (2021)
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) (2021)
Zhen Zeng, Tucker Balch, Manuela Veloso
Deep video prediction for time series forecasting. ICAIF (2021)
Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer
Playing with Food: Learning Food Item Representations through Interactive Exploration. CoRR (2021)
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 (2021)
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso
Visual Time Series Forecasting: An Image-driven Approach. CoRR (2021)
Daniel Borrajo, Manuela Veloso
Computing Opportunities to Augment Plans for Novel Replanning during Execution. ICAPS (2021)
Daniel Borrajo, Manuela Veloso
Intelligent Execution through Plan Analysis. IROS (2021)
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)
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)
Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources. CoRR (2021)
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)
Ishani Chatterjee, Yash Oza, Maxim Likhachev, Manuela Veloso
Search-based Planning with Learned Behaviors for Navigation among Pedestrians. IROS (2021)
Srijan Sood, Zhen Zeng, Naftali Cohen, Tucker Balch, Manuela Veloso
Visual time series forecasting: an image-driven approach. ICAIF (2021)
Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS Conference (2021)
Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets. CoRR (2021)
Natraj Raman, Sameena Shah, Manuela Veloso
Synthetic Document Generator for Annotation-free Layout Recognition. CoRR (2021)
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. CoRR (2021)
Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
Tradeoffs in streaming binary classification under limited inspection resources. ICAIF (2021)
Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR (2021)
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 Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR (2021)
Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
Parameterized Explanations for Investor / Company Matching. CoRR (2021)
Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus
Advising Agent for Service-Providing Live-Chat Operators. CoRR (2021)
Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI (2021)
Yufei Wu, Mahmoud Mahfouz, Daniele Magazzeni, Manuela Veloso
How Robust are Limit Order Book Representations under Data Perturbation? CoRR (2021)
Zhen Zeng, Tucker Balch, Manuela Veloso
Deep Video Prediction for Time Series Forecasting. CoRR (2021)
Daniel Borrajo, Manuela Veloso
Domain-independent generation and classification of behavior traces. CoRR (2020)
Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch
Get real: realism metrics for robust limit order book market simulations. ICAIF (2020)
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR (2020)
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso
Heuristics for Link Prediction in Multiplex Networks. ECAI (2020)
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS (2020)
Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
Latent Bayesian Inference for Robust Earnings Estimates. CoRR (2020)
Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov
Guaranteeing Reproducibility in Deep Learning Competitions. CoRR (2020)
Devin Schwab, Yifeng Zhu, Manuela Veloso
Tensor Action Spaces for Multi-agent Robot Transfer Learning. IROS (2020)
Jiahao Chen, Manuela Veloso
Paying down metadata debt: learning the representation of concepts using topic models. ICAIF (2020)
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso
Visual Forecasting of Time Series with Image-to-Image Regression. CoRR (2020)
Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. AAMAS (2020)
Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
Robust Document Representations using Latent Topics and Metadata. CoRR (2020)
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. ICAIF (2020)
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
SURF: improving classifiers in production by learning from busy and noisy end users. ICAIF (2020)
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
SURF: Improving classifiers in production by learning from busy and noisy end users. CoRR (2020)
Naftali Cohen, Tucker Balch, Manuela Veloso
Trading via image classification. ICAIF (2020)
Daniel Borrajo, Manuela Veloso, Sameena Shah
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. ICAIF (2020)

Manuela Veloso.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Manuela Veloso