130 citations · 631 across the 25 of their papers we have counts for
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cond-mat.dis-nn2021★ 19 cited
Unified field theoretical approach to deep and recurrent neuronal networks
Kai Segadlo, Bastian Epping, Alexander van Meegen +3
Understanding capabilities and limitations of different network architectures is of fundamental importance to machine learning. Bayesian inference on Gaussian processes has proven…
cond-mat.dis-nn2021★ 22 cited
Gell-Mann-Low criticality in neural networks
Lorenzo Tiberi, Jonas Stapmanns, Tobias Kühn +3
Criticality is deeply related to optimal computational capacity. The lack of a renormalized theory of critical brain dynamics, however, so far limits insights into this form of bio…