Veloso, Manuela

33 publications

AAAI 2025 Auditing and Enforcing Conditional Fairness via Optimal Transport Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

CoRL 2025 DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song

UAI 2025 Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

ICML 2025 EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption Leo De Castro, Daniel Escudero, Adya Agrawal, Antigoni Polychroniadou, Manuela Veloso

ICLR 2025 Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lecue, Manuela Veloso

ICML 2025 LSCD: Lomb–Scargle Conditioned Diffusion for Time Series Imputation Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso

UAI 2025 Mixup Regularization: A Probabilistic Perspective Yousef El-Laham, Niccolo Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso

ICML 2025 To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models Anna Hedström, Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Manuela Veloso

AAAI 2024 Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

NeurIPSW 2024 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso

NeurIPSW 2024 Behavioral Sequence Modeling with Ensemble Learning Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso

ICML 2024 Counterfactual Metarules for Local and Global Recourse Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso

NeurIPS 2024 Fair Wasserstein Coresets Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lecue, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

AAAI 2024 FairWASP: Fast and Optimal Fair Wasserstein Pre-Processing Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

CoRL 2024 Flow as the Cross-Domain Manipulation Interface Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song

NeurIPSW 2024 Incentivized Exploration in Two-Sided Matching Markets Dung Daniel Ngo, Vamsi K. Potluru, Manuela Veloso

NeurIPSW 2024 LETS-C: Leveraging Text Embedding for Time Series Classification Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso

NeurIPSW 2024 Learning Mathematical Rules with Large Language Models Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal, Nelson Vadori, Manuela Veloso

ICML 2024 Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions Sanjay Kariyappa, Freddy Lecue, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso

NeurIPSW 2024 Scalable Representation Learning for Multimodal Tabular Transactions Natraj Raman, Sumitra Ganesh, Manuela Veloso

NeurIPS 2024 Sequential Harmful Shift Detection Without Labels Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lecue, Daniele Magazzeni, Manuela Veloso

UAI 2023 Differentially Private Synthetic Data Using KD-Trees Eleonora Kreačić, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

NeurIPSW 2023 Fair Wasserstein Coresets Zikai Xiong, Niccolo Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

TMLR 2023 Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection Robert E. Tillman, Tucker Balch, Manuela Veloso

ICMLW 2023 Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

CoRL 2023 XSkill: Cross Embodiment Skill Discovery Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song

NeurIPSW 2022 Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe Renbo Zhao, Niccolo Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

AAAI 2021 Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso

AAAI 2019 Generation of Policy-Level Explanations for Reinforcement Learning Nicholay Topin, Manuela Veloso

IJCAI 2019 MineRL: A Large-Scale Dataset of Minecraft Demonstrations William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov

ECCVW 2018 Vision Augmented Robot Feeding Alexandre Candeias, Travers Rhodes, Manuel Marques, João Paulo Costeira, Manuela Veloso

NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning Felipe Trevizan, Manuela Veloso

JMLR 2002 Learning to Construct Fast Signal Processing Implementations Bryan Singer, Manuela Veloso