Kirsten Fischer

According to our database, Kirsten Fischer authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning.

Noa Rubin, Kirsten Fischer, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias

CoRR, February, 2025

Mechanics of deep neural networks beyond the Gaussian limit.

Kirsten Fischer

PhD thesis, 2025

2024

Critical feature learning in deep neural networks.

Kirsten Fischer, Javed Lindner, David Dahmen, Zohar Ringel, Michael Krämer, Moritz Helias

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Optimal signal propagation in ResNets through residual scaling.

Kirsten Fischer, David Dahmen, Moritz Helias

CoRR, 2023

2020

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization.

Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel

Proceedings of the 8th International Conference on Learning Representations, 2020