Velasquez, Alvaro

19 publications

ICML 2025 Differentiable Quadratic Optimization for the Maximum Independent Set Problem Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez

ICML 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning Zhiyao Zhang, Myeung Suk Oh, Fnu Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu

CVPR 2025 Immune: Improving Safety Against Jailbreaks in Multi-Modal LLMs via Inference-Time Alignment Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi

ICCV 2025 TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision Ayush Gupta, Anirban Roy, Rama Chellappa, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha

WACV 2025 Zero-Shot Detection of Out-of-Context Objects Using Foundation Models Anirban Roy, Adam Cobb, Ramneet Kaur, Sumit Jha, Nathaniel Bastian, Alexander Berenbeim, Robert Thomson, Iain Cruickshank, Alvaro Velasquez, Susmit Jha

AAAI 2024 Assume-Guarantee Reinforcement Learning Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez

TMLR 2024 Byzantine-Resilient Decentralized Multi-Armed Bandits Jingxuan Zhu, Alec Koppel, Alvaro Velasquez, Ji Liu

JAIR 2024 Robust Average-Reward Reinforcement Learning Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

ECCVW 2024 TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani

ICML 2023 Model-Free Robust Average-Reward Reinforcement Learning Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

AAAI 2023 Robust Average-Reward Markov Decision Processes Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

IJCAI 2022 ExplainIt!: A Tool for Computing Robust Attributions of DNNs Sumit Kumar Jha, Alvaro Velasquez, Rickard Ewetz, Laura Pullum, Susmit Jha

NeurIPSW 2022 Responsible Reasoning with Large Language Models and the Impact of Proper Nouns Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha

AAAI 2022 Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha

AAAI 2021 Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George K. Atia

IJCAI 2021 On Smoother Attributions Using Neural Stochastic Differential Equations Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha

JAIR 2021 Steady-State Planning in Expected Reward Multichain MDPs George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez

IJCAI 2020 Steady-State Policy Synthesis in Multichain Markov Decision Processes George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez

IJCAI 2019 Steady-State Policy Synthesis for Verifiable Control Alvaro Velasquez