1 citations · 1 across the 3 of their papers we have counts for
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GeneICL: A Tabular Foundation Model for Bulk Transcriptomics
Michael Bohl, Alexander Theus, David Wissel +1
Gene expression is widely measured in biomedicine, yet clinical outcome prediction remains challenging due to high dimensionality, strong feature correlations, and limited labeled…
Generalized Linear Mode Connectivity for Transformers
Alexander Theus, Alessandro Cabodi, Sotiris Anagnostidis +3
Understanding the geometry of neural network loss landscapes is a central question in deep learning, with implications for generalization and optimization. A striking phenomenon is…
Feature Clock: High-Dimensional Effects in Two-Dimensional Plots
Olga Ovcharenko, Rita Sevastjanova, Valentina Boeva
Humans struggle to perceive and interpret high-dimensional data. Therefore, high-dimensional data are often projected into two dimensions for visualization. Many applications benef…