Image de couverture de livre

Beyond Lipschitz: Data-Driven Robustness via Discrete Modulus of Continuity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dölz, Jürgen, Multerer, Michael, Palma, Michele
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Data-intrinsic approximation in metric spaces
par: Dölz, Jürgen, et autres
Publié: (2025)

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
par: Chen, Erh-Chung, et autres
Publié: (2024)

Construction of generalized samplets in Banach spaces
par: Balazs, Peter, et autres
Publié: (2024)

Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
par: Benko, Matej, et autres
Publié: (2024)

Quantifying uncertainty in spectral clusterings: expectations for perturbed and incomplete data
par: Dölz, Jürgen, et autres
Publié: (2025)

Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity
par: Gao, Wenzhi, et autres
Publié: (2024)

Samplet basis pursuit: Multiresolution scattered data approximation with sparsity constraints
par: Baroli, Davide, et autres
Publié: (2023)

On Quasi-Localized Dual Pairs in Reproducing Kernel Hilbert Spaces
par: Harbrecht, Helmut, et autres
Publié: (2024)

Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
par: Li, Xiao, et autres
Publié: (2023)

Beyond Lipschitz Continuity and Monotonicity: Fractal and Chaotic Activation Functions in Echo State Networks
par: Chipera, Rae, et autres
Publié: (2025)

Samplet limits and multiwavelets
par: Giacchi, Gianluca, et autres
Publié: (2026)

Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation
par: Batten, Ben, et autres
Publié: (2024)

Multiscale scattered data analysis in samplet coordinates
par: Avesani, Sara, et autres
Publié: (2024)

Multiresolution local smoothness detection in non-uniformly sampled multivariate signals
par: Avesani, Sara, et autres
Publié: (2025)

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
par: Khan, Zulqarnain, et autres
Publié: (2022)

Approximation Theory for Lipschitz Continuous Transformers
par: Furuya, Takashi, et autres
Publié: (2026)

Corruption-Robust Lipschitz Contextual Search
par: Zuo, Shiliang
Publié: (2023)

Observation-specific explanations through scattered data approximation
par: Ghidini, Valentina, et autres
Publié: (2024)

A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks
par: Abdeen, Zain ul, et autres
Publié: (2025)

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
par: Massena, Thomas, et autres
Publié: (2025)

SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
par: Zhong, Meiyu, et autres
Publié: (2024)

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
par: Meyer, Nico, et autres
Publié: (2024)

Learning from Snapshots of Discrete and Continuous Data Streams
par: Devulapalli, Pramith, et autres
Publié: (2024)

Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
par: Bakshi, Ainesh, et autres
Publié: (2023)

CORDS: Continuous Representations of Discrete Structures
par: Veljković, Tin Hadži, et autres
Publié: (2026)

Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
par: Fazlyab, Mahyar, et autres
Publié: (2023)

Adaptive joint distribution learning
par: Filipovic, Damir, et autres
Publié: (2021)

Bespoke multiresolution analysis of graph signals
par: Elefante, Giacomo, et autres
Publié: (2025)

Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
par: Khromov, Grigory, et autres
Publié: (2023)

On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets
par: Nikolentzos, Giannis, et autres
Publié: (2025)

Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness
par: He, Qi, et autres
Publié: (2025)

Holistic Robust Data-Driven Decisions
par: Bennouna, Amine, et autres
Publié: (2022)

Deep Learning-Driven Inversion Framework for Shear Modulus Estimation in Magnetic Resonance Elastography (DIME)
par: Iftikhar, Hassan, et autres
Publié: (2025)

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
par: Chao, Chen-Hao, et autres
Publié: (2025)

Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation
par: Hamelbeck, Paul, et autres
Publié: (2025)

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
par: Abuduweili, Abulikemu, et autres
Publié: (2024)

Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data
par: de Jonge, Sterre, et autres
Publié: (2026)

Beyond the Markovian Assumption: Robust Optimization via Fractional Weyl Integrals in Imbalanced Data
par: Dorrego, Gustavo A.
Publié: (2026)

Lipschitz-aware Linearity Grafting for Certified Robustness
par: Han, Yongjin, et autres
Publié: (2025)

A Continuous Relaxation for Discrete Bayesian Optimization
par: Michael, Richard, et autres
Publié: (2024)