Wafer level measurements and numerical analysis of self-heating phenomena in nano-scale SOI MOSFETs. - Giacomo Garegnani; Vincent Fiori; Gilles Gouget; Frederic Monsieur; Clément Tavernier (Microelectron. Reliab., 2016)

Ensemble Kalman Filter for Multiscale Inverse Problems. - Assyr Abdulle; Giacomo Garegnani; Andrea Zanoni (Multiscale Model. Simul., 2020)

Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration. - Assyr Abdulle; Giacomo Garegnani (Stat. Comput., 2020)

A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems. - Assyr Abdulle; Giacomo Garegnani (CoRR, 2021)

Robust Estimation of Effective Diffusions from Multiscale Data. - Giacomo Garegnani; Andrea Zanoni (CoRR, 2021)

Sampling Methods for Bayesian Inference Involving Convergent Noisy Approximations of Forward Maps. - Giacomo Garegnani (CoRR, 2021)

Drift Estimation of Multiscale Diffusions Based on Filtered Data. - Assyr Abdulle; Giacomo Garegnani; Grigorios A. Pavliotis; Andrew M. Stuart; Andrea Zanoni (Found. Comput. Math., 2023)