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Michael Biehl
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Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis
Off-line Learning Analysis for Soft Committee Machines with GELU Activation
Supervised Learning in the Presence of Concept Drift: A modelling framework
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
Complex-valued embeddings of generic proximity data
On-line learning dynamics of ReLU neural networks using statistical physics techniques
Learning Vector Quantization and relevances in complex coefficient space
Statistical Mechanics of On-Line Learning Under Concept Drift
Prototypes and matrix relevance learning in complex Fourier space
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