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024 7 _ |a 10.5281/ZENODO.15480898
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037 _ _ |a FZJ-2026-01326
041 _ _ |a English
100 1 _ |a Rubin, Noa
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245 _ _ |a From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
260 _ _ |c 2025
336 7 _ |a Software
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520 _ _ |a Code for From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning This repository contains the code accompanying the paper: Rubin, N., Fischer, K., Lindner, J., Dahmen, D., Seroussi, I., Ringel, Z., Krämer, M., Helias, M. From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning (arxiv 2502.03210). For any questions, please contact Noa Rubin (noa.rubin@mail.huji.ac.il), Kirsten Fischer (ki.fischer@fz-juelich.de) or Javed Lindner (javed.lindner@rwth-aachen.de).
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536 _ _ |a GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240)
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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a feature learning
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650 _ 7 |a kernel adaptation
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650 _ 7 |a Bayesian inference
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650 _ 7 |a deep neural networks
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650 _ 7 |a kernel rescaling
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700 1 _ |a Fischer, Kirsten
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700 1 _ |a Lindner, Javed
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700 1 _ |a Dahmen, David
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700 1 _ |a Seroussi, Inbar
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700 1 _ |a Ringel, Zohar
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700 1 _ |a Krämer, Michael
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700 1 _ |a Helias, Moritz
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