[Dottorcomp] Seminario di Matematica Applicata 25/11 (oggi) di Paolo Manfredi -- Rimandato

[Lorenzo Tamellini]

Buongiorno a tutt*,

a causa di un imprevisto, il seminario di Paolo Manfredi previsto per oggi
è rimandato a data da destinarsi.

Cordiali saluti,
Lorenzo Tamellini

---------- Forwarded message ---------
Da: Lorenzo Tamellini <tamellini a imati.cnr.it>
Date: mer 19 nov 2025 alle ore 16:11
Subject: Seminari di Matematica Applicata, 25/11/2025, Paolo Manfredi
To: <seminari-mat-app a unipv.it>


Seminari di Matematica Applicata, Dipartimento di Matematica "F. Casorati"
e Istituto del CNR IMATI "E. Magenes" di Pavia.

Martedì 25 Novembre 2025, alle ore 15 precise, presso la sala conferenze
dell'IMATI-CNR di Pavia,

*Paolo Manfredi (Politecnico di Torino)*

terrà un seminario dal titolo:
*Data-efficient uncertainty quantification and optimization of electronic
systems using machine learning*

*Abstract:* This talk provides an overview over the utilization of Gaussian
process regression (GPR) for the data-efficient uncertainty quantification,
yield analysis, and optimization of electronic systems. GPR, also known as
Kriging, is a nonparametric method belonging to the class of kernel machine
learning regressions. As such, it does not assume a predetermined
functional form, but it rather constructs the model from data. This makes
it more flexible and suitable for building surrogate models of
computationally expensive systems characterized by a large number of
independent input design parameters. In particular, we will discuss the
calculation of statistical moments and the prediction confidence, explore
active learning strategies for the iterative acquisition of optimal
training datasets, and introduce a hybrid technique that combines GPR and
polynomial chaos expansion (PCE).