10 citations · 18 across the 2 of their papers we have counts for
6 papers
Space-time multilevel quadrature methods and their application for cardiac electrophysiology
Seif Ben Bader, Helmut Harbrecht, Rolf Krause +3
We present a novel approach which aims at high-performance uncertainty quantification for cardiac electrophysiology simulations. Employing the monodomain equation to model the tran…
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs
Giorgio Giannone, Asha Anoosheh, Alessio Quaglino +3
Event-based cameras are novel, efficient sensors inspired by the human vision system, generating an asynchronous, pixel-wise stream of data. Learning from such data is generally pe…
Safe Interactive Model-Based Learning
Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu +4
Control applications present hard operational constraints. A violation of these can result in unsafe behavior. This paper introduces Safe Interactive Model Based Learning (SiMBL),…
Space-time multilevel Monte Carlo methods and their application to cardiac electrophysiology
Seif Ben Bader, Pietro Benedusi, Alessio Quaglino +2
We present a novel approach aimed at high-performance uncertainty quantification for time-dependent problems governed by partial differential equations. In particular, we consider…
SNODE: Spectral Discretization of Neural ODEs for System Identification
Alessio Quaglino, Marco Gallieri, Jonathan Masci +1
This paper proposes the use of spectral element methods \citep{canuto_spectral_1988} for fast and accurate training of Neural Ordinary Differential Equations (ODE-Nets; \citealp{Ch…
Smart energy models for atomistic simulations using a DFT-driven multifidelity approach
Luca Messina, Alessio Quaglino, Alexandra Goryaeva +5
The reliability of atomistic simulations depends on the quality of the underlying energy models providing the source of physical information, for instance for the calculation of mi…