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Ernesto De Vito

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34

Learning convolution operators on compact Abelian groups

9 January 2025 by Emilia Magnani and others

Machine Learning

Learning sparsity-promoting regularizers for linear inverse problems

20 December 2024 by Giovanni Alberti and others at

University of Helsinki

Machine Learning, Statistics Theory

On Learning the Optimal Regularization Parameter in Inverse Problems

21 May 2024 by Jonathan Chirinos Rodriguez and others at

University of Genoa

Statistics Theory, Optimization and Control

Neural reproducing kernel Banach spaces and representer theorems for deep networks

13 March 2024 by Francesca Bartolucci and others

Machine Learning, Functional Analysis

Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling

22 November 2023 by Antoine Chatalic and others

Machine Learning, Numerical Analysis

Regularized ERM on random subspaces

7 December 2022 by Andrea Della Vecchia and others

Machine Learning, Statistics Theory

Mean Nyström Embeddings for Adaptive Compressive Learning

10 February 2022 by Antoine Chatalic and others

Machine Learning

Multiclass learning with margin: exponential rates with no bias-variance trade-off

3 February 2022 by Stefano Vigogna and others

Machine Learning

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

17 January 2022 by Giacomo Meanti and others

Machine Learning

Learning the optimal Tikhonov regularizer for inverse problems

22 November 2021 by Giovanni Alberti and others

Machine Learning, Statistics Theory

Understanding neural networks with reproducing kernel Banach spaces

26 October 2021 by Francesca Bartolucci and others

Machine Learning, Functional Analysis

Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel

8 March 2021 by Ernesto Vito and others

Functional Analysis, Machine Learning

Regularized ERM on random subspaces

22 October 2020 by Andrea Della Vecchia and others

Machine Learning

Interpolation and Learning with Scale Dependent Kernels

11 October 2020 by Nicolò Pagliana and others

Machine Learning, Numerical Analysis

Radon Transform: Dual Pairs and Irreducible Representations

4 February 2020 by Giovanni Alberti and others

Functional Analysis, Representation Theory

Monte Carlo wavelets: a randomized approach to frame discretization

23 October 2019 by Zeljko Kereta and others

Functional Analysis, Machine Learning

Cone-Adapted Shearlets and Radon Transforms

16 October 2019 by Francesca Bartolucci and others

Functional Analysis

Multi-Scale Vector Quantization with Reconstruction Trees

4 September 2019 by Enrico Cecini and others

Machine Learning, Statistics Theory

Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces

27 May 2019 by Ernesto Vito and others

Functional Analysis, Machine Learning

Unsupervised parameter selection for denoising with the elastic net

13 May 2019 by Ernesto Vito and others

Machine Learning, Computer Vision and Pattern Recognition

Unitarization and Inversion Formulae for the Radon Transform between Dual Pairs

30 October 2018 by Giovanni Alberti and others

Representation Theory, Functional Analysis

On the Atomic Decomposition of Coorbit Spaces with Non-Integrable Kernel

17 July 2018 by Stephan Dahlke and others

Functional Analysis

A Machine Learning Approach to Optimal Tikhonov Regularisation I: Affine Manifolds

12 October 2017 by Ernesto Vito and others

Numerical Analysis, Probability

Radon transform intertwines shearlets and wavelets

28 March 2017 by Francesca Bartolucci and others

Functional Analysis

Continuous and discrete frames generated by the evolution flow of the Schrödinger equation

9 December 2016 by Giovanni Alberti and others

Functional Analysis, Representation Theory

Scale Invariant Interest Points with Shearlets

26 July 2016 by Miguel Duval-Poo and others

Computer Vision and Pattern Recognition

Recent Progress in Shearlet Theory: Systematic Construction of Shearlet Dilation Groups, Characterization of Wavefront Sets, and New Embeddings

10 May 2016 by Giovanni Alberti and others

Functional Analysis

Reproducing subgroups of Sp(2,\mathbb{R}). Part I: algebraic classification

2 November 2015 by Giovanni Alberti and others

Group Theory, Functional Analysis

Different faces of the shearlet group

28 January 2015 by Stefan Dahlke and others

Learning Sets with Separating Kernels

25 November 2014 by Ernesto Vito and others

Machine Learning

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Machine Learning Functional Analysis Statistics Theory Numerical Analysis Representation Theory Group Theory Computer Vision and Pattern Recognition Mathematical Physics Optimization and Control Probability Spectral Theory