معرفی
Davide Gallon is a PhD student at the University of Münster, affiliated with the Cluster of Excellence Mathematics Münster and the Mathematics Münster Graduate School. His research focuses on Numerical analysis, Machine learning, and Scientific computing, supervised by Arnulf Jentzen.
His expertise includes:
- Designing mathematical frameworks for machine learning algorithms
- Analysis of gradient descent optimization methods
- High-dimensional differential equations and deep learning
- Collaborative research at institutions like ETH Zurich (visiting PhD student, 2025)
Recent activities:
- Teaching assistant for Numerical Optimization (2024)
- Attendances at Mediterranean Machine Learning Summer School (2024) and Deep Learning Theory Summer School (2024)
Published preprints include theoretical studies on:
- Gradient flow divergence in neural networks (2025)
- Diffusion models for generative AI (2024)
- Blow-up phenomena in optimization (2022)
۰مقاله منتشرشده
