2 papers
cs.LG2025
Kronecker-factored Approximate Curvature (KFAC) From Scratch
Felix Dangel, Bálint Mucsányi, Tobias Weber +1
Kronecker-factored approximate curvature (KFAC) is arguably one of the most prominent curvature approximations in deep learning. Its applications range from optimization to Bayesia…
cs.CV2025
Block Graph Neural Networks for tumor heterogeneity prediction
Marianne Abémgnigni Njifon, Tobias Weber, Viktor Bezborodov +2
Accurate tumor classification is essential for selecting effective treatments, but current methods have limitations. Standard tumor grading, which categorizes tumors based on cell…