224 citations · 3k across the 59 of their papers we have counts for
59 papers
AQMP: Image compression through Adaptive Quadtree Refinement and Matching Pursuit with Hyperparameter Optimization
Franco Cerino, Emmanuel Tassone, Manuel Tiglio
We present AQMP, a novel image codec combining Adaptive Quadtree Refinement with Matching Pursuit. Unlike conventional Matching Pursuit methods that operate on fixed-size sub-image…
Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates
Franco Cerino, Andrés Diaz-Pace, Emmanuel Tassone +2
In a previous work we introduced, in the context of gravitational wave science, an initial study on an automated domain-decomposition approach for reduced basis through hp-greedy r…
An automated parameter domain decomposition approach for gravitational wave surrogates using hp-greedy refinement
Franco Cerino, J. Andrés Diaz-Pace, Manuel Tiglio
We introduce hp-greedy, a refinement approach for building gravitational wave surrogates as an extension of the standard reduced basis framework. Our proposal is data-driven, with…
Gravitational wave surrogates through automated machine learning
Damián Barsotti, Franco Cerino, Manuel Tiglio +1
We analyze a prospect for predicting gravitational waveforms from compact binaries based on automated machine learning (AutoML) from around a hundred different possible regression…
Reduced Order and Surrogate Models for Gravitational Waves
Manuel Tiglio, Aarón Villanueva
We present an introduction to some of the state of the art in reduced order and surrogate modeling in gravitational wave (GW) science. Approaches that we cover include Principal Co…
On the stability and accuracy of the Empirical Interpolation Method and Gravitational Wave Surrogates
Manuel Tiglio, Aarón Villanueva
The combination of the Reduced Basis and the Empirical Interpolation Method (EIM) approaches have produced outstanding results in many disciplines. In particular, in gravitational…