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02/28/2023
Safe peeling for l0-regularized least-squares with supplementary material
We introduce a new methodology dubbed “safe peeling” to accelerate the r...
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03/02/2022
Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material
In this paper, we propose a novel safe screening test for Lasso. Our pro...
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10/22/2021
Safe rules for the identification of zeros in the solutions of the SLOPE problem
In this paper we propose a methodology to accelerate the resolution of t...
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08/20/2021
State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition
This technical note reviews sate-of-the-art algorithms for linear approx...
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11/29/2020
Translation-invariant interpolation of parametric dictionaries
In this communication, we address the problem of approximating the atoms...
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09/14/2020
Continuous dictionaries meet low-rank tensor approximations
In this short paper we bridge two seemingly unrelated sparse approximati...
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02/11/2020
Generalized Kernel-Based Dynamic Mode Decomposition
Reduced modeling in high-dimensional reproducing kernel Hilbert spaces o...
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11/18/2019
Safe squeezing for antisparse coding
Spreading the information over all coefficients of a representation is a...
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04/12/2019
When does OMP achieve support recovery with continuous dictionaries?
This paper presents new theoretical results on sparse recovery guarantee...
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04/12/2019
When does OMP achieves support recovery with continuous dictionaries?
This paper presents new theoretical results on sparse recovery guarantee...
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12/21/2018
Low-rank Approximation of Linear Maps
This work provides closed-form solutions and minimal achievable errors f...
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06/01/2018
Sea surface temperature prediction and reconstruction using patch-level neural network representations
The forecasting and reconstruction of ocean and atmosphere dynamics from...
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12/19/2017
Bilinear residual Neural Network for the identification and forecasting of dynamical systems
Due to the increasing availability of large-scale observation and simula...
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10/30/2017
Optimal Kernel-Based Dynamic Mode Decomposition
The state-of-the-art algorithm known as kernel-based dynamic mode decomp...
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01/04/2017
Optimal Low-Rank Dynamic Mode Decomposition
Dynamic Mode Decomposition (DMD) has emerged as a powerful tool for anal...
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10/10/2016
Low-Rank Dynamic Mode Decomposition: Optimal Solution in Polynomial-Time
This work studies the linear approximation of high-dimensional dynamical...
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10/08/2015
Reduced-Order Modeling Of Hidden Dynamics
The objective of this paper is to investigate how noisy and incomplete o...
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06/01/2015
