lipschitz constant

Expressive Monotonic Neural Networks ICLR 2023 Lipschitz constant estimation for 1D convolutional neural networks L4DC 2023 On the Convergence of SARSA with Linear Function Approximation ICML 2023 Stability Guarantees for Feature Attributions with Multiplicative Smoothing NeurIPS 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Adversarially Robust Conformal Prediction ICLR 2022 A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022 A Quantitative Geometric Approach to Neural-Network Smoothness NeurIPS 2022 Boosting the Certified Robustness of L-infinity Distance Nets ICLR 2022 Can Push-forward Generative Models Fit Multimodal Distributions? NeurIPS 2022 Certifiably Robust Variational Autoencoders AISTATS 2022 Constructing Orthogonal Convolutions in an Explicit Manner ICLR 2022 Controlling the Complexity and Lipschitz Constant improves Polynomial Nets ICLR 2022 Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022 On Mixup Regularization JMLR 2022 On the Adversarial Robustness of Mixture of Experts NeurIPS 2022 On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning NeurIPS 2022 On the expressivity of bi-Lipschitz normalizing flows ACML 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NeurIPS 2022 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NeurIPS 2022 RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval ICML 2022 Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021 A Law of Robustness for Two-Layers Neural Networks COLT 2021 Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization L4DC 2021