Showing cond-mat.dis-nnShow all
2 papers · 1 filter
cond-mat.dis-nn2025
Beyond-mean-field fluctuations for the solution of constraint satisfaction problems
Niklas Foos, Bastian Epping, Jannik Grundler +5
Constraint Satisfaction Problems (CSPs) lie at the heart of complexity theory and find application in a plethora of prominent tasks ranging from cryptography to genetics. Classical…
cond-mat.dis-nn2021
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…