150 citations · 180 across the 6 of their papers we have counts for
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stat.ML2020
The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration
Alex Goeßmann, Gitta Kutyniok
While regression tasks aim at interpolating a relation on the entire input space, they often have to be solved with a limited amount of training data. Still, if the hypothesis func…
physics.comp-ph2020★ 150 cited
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
Marcel F. Langer, Alex Goeßmann, Matthias Rupp
Computational study of molecules and materials from first principles is a cornerstone of physics, chemistry, and materials science, but limited by the cost of accurate and precise…
math.NA2020★ 11 cited
Tensor network approaches for learning non-linear dynamical laws
A. Goeßmann, M. Götte, I. Roth +3
Given observations of a physical system, identifying the underlying non-linear governing equation is a fundamental task, necessary both for gaining understanding and generating det…