ML Seminar Series
We will have a collection of four presentations from different members of the Accelerator Modelling and Advanced Simulations (AMAS) Group involving the use of Machine Learning techniques to their projects. The titles of each of the talks are as follow:
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Europe/Zurich
OHSA/B17
OHSA/B17
Description
ZOOM ID: https://psich.zoom.us/j/69335435814?pwd=OHpFYVBtM2I0emtNcFUvYUJVcG9BQT09
Meeting-ID: 693 3543 5814 Passcode: 437125
SPEAKERS:
Sebastian Heinekamp: Bayesian Calibration and the role of surrogates
Renato Bellotti: Beam angle prediction for proton radiotherapy using a nearest neigbhour model
Bastien Golomer: Beam angle prediction for proton radiotherapy using a CNN trained with unsupervised learning
Guglielmo Pacifico: Solving the Nuclear Decay Equation with Physics Informed Neural Networks
Organised by
The Laboratory for Simulation and Modelling
SDSC Hub @ PSI
Dr Luis Barba
Registration
Participants