Showing 1–20 of 47 results
/ Date/ Name
Aug 29, 2017Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary LearningJul 1, 2023Sparsity-aware generalization theory for deep neural networksFeb 26, 2022Adversarial robustness of sparse local Lipschitz predictorsFeb 8, 2022Entrywise Recovery Guarantees for Sparse PCA via Sparsistent AlgorithmsJun 11, 2020Recovery and Generalization in Over-Realized Dictionary LearningApr 13, 2021Fast Hierarchical Games for Image ExplanationsJun 2, 2018On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural NetworksMay 6, 2021A Geometric Analysis of Neural Collapse with Unconstrained FeaturesJul 7, 2016Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse CodingJul 7, 2016Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse CodingJan 31, 2016Trainlets: Dictionary Learning in High DimensionsJun 26, 2018MMSE Approximation For Sparse Coding Algorithms Using Stochastic ResonanceOct 22, 2020Adversarial Robustness of Supervised Sparse CodingOct 22, 2023What's in a Prior? Learned Proximal Networks for Inverse ProblemsSep 9, 2022DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor ImagingJul 16, 2020Deep Learning in Protein Structural Modeling and DesignMar 11, 2019Conformal Symplectic and Relativistic OptimizationApr 25, 2018Multi-Layer Sparse Coding: The Holistic WayMar 4, 2025Multiaccuracy and Multicalibration via Proxy GroupsOct 2, 2025Learning Regularization Functionals for Inverse Problems: A Comparative Study