Can Graph Attention Networks learn the degree to which node properties are determined by their neighborhood?
Celia Rubio-Madrigal

Self-Supervised Learning in Electron Microscopy: Towards a Foundation Model for Advanced Image Analysis
Karina Ruzaeva

Spectral Graph Pruning mitigates Over-Squashing and Over-smoothing in Graph Neural Networks
Adarsh Jamadandi

Near-field Holography image Denoising using Dilated Convolutional Neural Networks
Vahid Rahmani

DeGeSim: Conditional Denoising Diffusion Probabilistic Models as Multi-Dimensional Density Mappers for Monte Carlo Simulated Proton-Proton Collisions at the Large Hadron Collider
Stephen Jiggins

Development of a Bayesian deep-learning model to predict protein-protein interactions at a proteomic scale
Manuel Seefelder

Multi-omics integration with Bayesian Tensor Decomposition
Kevin De Azevedo

Machine learning denoising of high-resolution nanotomography data
Silja Flenner

Surrogate Modelling for Core Degradation in pressurized Water Reactors
Jonas Dressner

Novel Machine Learning Approaches to Study Infection and Disease through Biomedical Images
Artur Yakimovich