| Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration A Abdulle, G Garegnani Statistics and Computing 30 (4), 907-932, 2020 | 39 | 2020 |
| Drift estimation of multiscale diffusions based on filtered data A Abdulle, G Garegnani, GA Pavliotis, AM Stuart, A Zanoni Foundations of Computational Mathematics, 1-52, 2021 | 18* | 2021 |
| Wafer level measurements and numerical analysis of self-heating phenomena in nano-scale SOI MOSFETs G Garegnani, V Fiori, G Gouget, F Monsieur, C Tavernier Microelectronics Reliability 63, 90-96, 2016 | 18 | 2016 |
| A probabilistic finite element method based on random meshes: A posteriori error estimators and Bayesian inverse problems A Abdulle, G Garegnani Computer Methods in Applied Mechanics and Engineering 384, 113961, 2021 | 17 | 2021 |
| Ensemble Kalman filter for multiscale inverse problems A Abdulle, G Garegnani, A Zanoni Multiscale Modeling & Simulation 18 (4), 1565-1594, 2020 | 13 | 2020 |
| Robust estimation of effective diffusions from multiscale data G Garegnani, A Zanoni Communications in Mathematical Sciences 21 (2), 405-435, 2023 | 6 | 2023 |
| Numerical analysis of thermal effects in SOI MOSFET Flip-Chip packages: Multi-scale studies on isolated transistors and global simulations G Garegnani, V Fiori, S Gallois-Garreignot, R Gonella 2016 6th Electronic System-Integration Technology Conference (ESTC), 1-6, 2016 | 2 | 2016 |
| Sampling Methods for Bayesian Inference Involving Convergent Noisy Approximations of Forward Maps G Garegnani arXiv preprint arXiv:2111.03491, 2021 | 1 | 2021 |
| Learning effective models from multiscale data: filtering and Bayesian inference A Abdulle, G Garegnani, GA Pavliotis, AM Stuart, A Zanoni Oberwolfach Reports, Geometric Numerical Integration (OW2021), 2021 | | 2021 |
| Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations G Garegnani EPFL, 2021 | | 2021 |
Andrea ZanoniStanford UniversityBestätigte E-Mail-Adresse bei stanford.edu
