Fazlyab, Mahyar

12 publications

NeurIPS 2025 Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models Taha Entesari, Arman Hatami, Rinat Khaziev, Anil Ramakrishna, Mahyar Fazlyab

ICML 2024 Compositional Curvature Bounds for Deep Neural Networks Taha Entesari, Sina Sharifi, Mahyar Fazlyab

ECCV 2024 Gradient-Based Out-of-Distribution Detection Taha Entesari, Sina Sharifi, Bardia Safaei, Vishal Patel, Mahyar Fazlyab

CoRL 2024 Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation Lakshmideepakreddy Manda, Shaoru Chen, Mahyar Fazlyab

L4DC 2023 Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes Taha Entesari, Mahyar Fazlyab

L4DC 2023 Certified Invertibility in Neural Networks via Mixed-Integer Programming Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis Kevrekidis, Mahyar Fazlyab

NeurIPS 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa

ECCV 2022 Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not Liangzu Peng, Mahyar Fazlyab, René Vidal

L4DC 2021 Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization Navid Hashemi, Justin Ruths, Mahyar Fazlyab

ICLR 2021 Enforcing Robust Control Guarantees Within Neural Network Policies Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J Zico Kolter

L4DC 2020 Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas

NeurIPS 2019 Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George Pappas