3 papers
cs.LG2026
Robustness and Regularization in Hierarchical Re-Basin
Benedikt Franke, Florian Heinrich, Markus Lange +1
This paper takes a closer look at Git Re-Basin, an interesting new approach to merge trained models. We propose a hierarchical model merging scheme that significantly outperforms t…
cs.LG2026
Revisiting Neural Activation Coverage for Uncertainty Estimation
Benedikt Franke, Nils Förster, Frank Köster +3
Neural activation coverage (NAC) is a recently-proposed technique for out-of-distribution detection and generalization. We build upon this promising foundation and extend the metho…
cs.LG2025
On Advancements of the Forward-Forward Algorithm
Mauricio Ortiz Torres, Markus Lange, Arne P. Raulf
The Forward-Forward algorithm has evolved in machine learning research, tackling more complex tasks that mimic real-life applications. In the last years, it has been improved by se…