2 citations · 3 across the 4 of their papers we have counts for
4 papers
Robust Calibration For Improved Weather Prediction Under Distributional Shift
Sankalp Gilda, Neel Bhandari, Wendy Mak +1
In this paper, we present results on improving out-of-domain weather prediction and uncertainty estimation as part of the \texttt{Shifts Challenge on Robustness and Uncertainty und…
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods
Artur P. Toshev, Ludger Paehler, Andrea Panizza +1
Recent developments in Machine Learning approaches for modelling physical systems have begun to mirror the past development of numerical methods in the computational sciences. In t…
Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors
Andrea Panizza, Szymon Tomasz Stefanek, Stefano Melacci +2
Nondestructive testing (NDT) is widely applied to defect identification of turbine components during manufacturing and operation. Operational efficiency is key for gas turbine OEM…
An Optimal Control Approach to Learning in SIDARTHE Epidemic model
Andrea Zugarini, Enrico Meloni, Alessandro Betti +3
The COVID-19 outbreak has stimulated the interest in the proposal of novel epidemiological models to predict the course of the epidemic so as to help planning effective control str…