Total Variation Regularization of Shape Signals

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Catastrophic overfitting (CO) in single-step adversarial training (AT) results in abrupt drops in the adversarial test accuracy (even down to 0%). For models trained with multi-step AT, it has been observed that the loss function behaves locally linearly w ...

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Total Variation Regularization of Shape Signals

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Efficient local linearity regularization to overcome catastrophic overfitting

Koopman-based Data-driven Robust Control of Nonlinear Systems Using Integral Quadratic Constraints

Aggregating Spatial and Photometric Context for Photometric Stereo

Towards Trustworthy Deep Learning for Image Reconstruction

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Understanding generalization and robustness in modern deep learning

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Price Discrimination with Robust Beliefs

(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

A Neural-Network-Based Convex Regularizer for Inverse Problems

Regularization Techniques for Low-Resource Machine Translation

Improving Standard-Cell Design Flow using Factored Form Optimization

Writing and Drawing Inventions: Patents and Technology in France and the United States (18th-19th centuries)

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

Complexation Strategies towards Challenging Group 9 Metal Cyclopentadienyl Scaffolds

Improving Generalization of Pretrained Language Models