Smart energy models for atomistic simulations using a DFT-driven multifidelity approach. - Luca Messina; Alessio Quaglino; Alexandra Goryaeva; Mihai-Cosmin Marinica; Christophe Domain; Nicolas Castin; Giovanni Bonny; Rolf Krause (CoRR, 2018)

On Sampling Spatially-Correlated Random Fields for Complex Geometries. - Simone Pezzuto; Alessio Quaglino; Mark Potse (FIMH, 2019)

Accelerating Neural ODEs with Spectral Elements. - Alessio Quaglino; Marco Gallieri; Jonathan Masci; Jan Koutník (CoRR, 2019)

Safe Interactive Model-Based Learning. - Marco Gallieri; Seyed Sina Mirrazavi Salehian; Nihat Engin Toklu; Alessio Quaglino; Jonathan Masci; Jan Koutník; Faustino J. Gomez (CoRR, 2019)

High-dimensional and higher-order multifidelity Monte Carlo estimators. - Alessio Quaglino; Simone Pezzuto; Rolf Krause (J. Comput. Phys., 2019)

SNODE: Spectral Discretization of Neural ODEs for System Identification. - Alessio Quaglino; Marco Gallieri; Jonathan Masci; Jan Koutník (ICLR, 2020)

Neural Lyapunov Model Predictive Control. - Mayank Mittal; Marco Gallieri; Alessio Quaglino; Seyed Sina Mirrazavi Salehian; Jan Koutník (CoRR, 2020)

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. - Giorgio Giannone; Asha Anoosheh; Alessio Quaglino; Pierluca D'Oro; Marco Gallieri; Jonathan Masci (CoRR, 2020)

Space-time multilevel Monte Carlo methods and their application to cardiac electrophysiology. - Seif Ben Bader; Pietro Benedusi; Alessio Quaglino; Patrick Zulian; Rolf Krause (J. Comput. Phys., 2021)

Space-time Multilevel Quadrature Methods and their Application for Cardiac Electrophysiology. - Seif Ben Bader; Helmut Harbrecht; Rolf Krause; Michael D. Multerer; Alessio Quaglino; Marc Schmidlin (SIAM/ASA J. Uncertain. Quantification, 2023)