Prasanna Mayilvahanan

According to our database, Prasanna Mayilvahanan authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws.

Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel

CoRR, February, 2025

In Search of Forgotten Domain Generalization.

Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Does CLIP's generalization performance mainly stem from high train-test similarity?

Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Compositional Generalization from First Principles.

Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Representation Learning for the Clustering of Multi-Omics Data.

Gautier Viaud, Prasanna Mayilvahanan, Paul-Henry Cournède

IEEE ACM Trans. Comput. Biol. Bioinform., 2022