lipshitz constant

ODE-based Smoothing Neural Network for Reinforcement Learning Tasks ICLR 2025 ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks NeurIPS 2024 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control ICML 2023 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023 A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022 CerDEQ: Certifiable Deep Equilibrium Model ICML 2022 Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation NeurIPS 2022 Invertible Monotone Operators for Normalizing Flows NeurIPS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Robust Graph Neural Networks via Probabilistic Lipschitz Constraints L4DC 2022 Invertible DenseNets with Concatenated LipSwish NeurIPS 2021 Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021 Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective ICML 2021 Assessing Local Generalization Capability in Deep Models AISTATS 2020 Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NeurIPS 2020 Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NeurIPS 2019 RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019 Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach ICLR 2018 Signal recovery from Pooling Representations ICML 2014