Representation Learning for the Clustering of Multi-Omics Data. - Gautier Viaud; Prasanna Mayilvahanan; Paul-Henry Cournède (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Compositional Generalization from First Principles. - Thaddäus Wiedemer; Prasanna Mayilvahanan; Matthias Bethge; Wieland Brendel (NeurIPS, 2023)

Does CLIP's generalization performance mainly stem from high train-test similarity? - Prasanna Mayilvahanan; Thaddäus Wiedemer; Evgenia Rusak; Matthias Bethge; Wieland Brendel (ICLR, 2024)

In Search of Forgotten Domain Generalization. - Prasanna Mayilvahanan; Roland S. Zimmermann; Thaddäus Wiedemer; Evgenia Rusak; Attila Juhos; Matthias Bethge; Wieland Brendel (ICLR, 2025)

LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws. - Prasanna Mayilvahanan; Thaddäus Wiedemer; Sayak Mallick; Matthias Bethge; Wieland Brendel (CoRR, 2025)