Alvaro Velasquez
16 papers · 2019–2026 · 6 venues · across top CS/AI venues
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(9)
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attribution method
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bellman equation
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neural stochastic differential equation
(2)
stochastic differential equation
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linear programming
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integrated gradient
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robust markov decision process
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model robustness
(1)
transfer learning
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contrastive learning
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weak supervision
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neural network optimization
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formal methods
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safety alignment
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feature attribution
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machine unlearning
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adversarial robustness
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dynamic programming
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value iteration
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temporal grounding
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Papers
On the Dataless Training of Neural Networks
AAAI 2026
Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models
CVPR 2026
Differentiable Quadratic Optimization For the Maximum Independent Set Problem
ICML 2025
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
ICML 2025
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
CVPR 2025
TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision
ICCV 2025
Zero-Shot Detection of Out-of-Context Objects using Foundation Models
WACV 2025
Assume-Guarantee Reinforcement Learning
AAAI 2024
Model-Free Robust Average-Reward Reinforcement Learning
ICML 2023
Robust Average-Reward Markov Decision Processes
AAAI 2023
ExplainIt!: A Tool for Computing Robust Attributions of DNNs
IJCAI 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations
AAAI 2022
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search
AAAI 2021
On Smoother Attributions using Neural Stochastic Differential Equations
IJCAI 2021
Steady-State Policy Synthesis in Multichain Markov Decision Processes
IJCAI 2020
Steady-State Policy Synthesis for Verifiable Control
IJCAI 2019