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stat.ML2025
Neural Measures for learning distributions of Random PDEs
Georgios Arampatzis, Stylianos Katsarakis, Charalambos Makridakis
The integration of Scientific Machine Learning (SciML) techniques with uncertainty quantification (UQ) represents a rapidly evolving frontier in computational science. This work ad…
stat.ML2023★ 1 cited
A new approach to generalisation error of machine learning algorithms: Estimates and convergence
Michail Loulakis, Charalambos G. Makridakis
In this work we consider a model problem of deep neural learning, namely the learning of a given function when it is assumed that we have access to its point values on a finite set…