Search Results for author: André Erpenbeck

Found 2 papers, 0 papers with code

Resolving the nonequilibrium Kondo singlet in energy- and position-space using quantum measurements

no code implementations24 Dec 2020 André Erpenbeck, Guy Cohen

The Kondo effect, a hallmark of strong correlation physics, is characterized by the formation of an extended cloud of singlet states around magnetic impurities at low temperatures.

Mesoscale and Nanoscale Physics Strongly Correlated Electrons

Sparsity through evolutionary pruning prevents neuronal networks from overfitting

no code implementations7 Nov 2019 Richard C. Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling

We conclude that sparsity is a central property of neural networks and should be considered for modern Machine learning approaches.

BIG-bench Machine Learning Decision Making

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