40 citations · 45 across the 5 of their papers we have counts for
3 papers · 1 filter
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation
Markus Gross, Arne P. Raulf, Christoph Räth
We investigate the stationary (late-time) training regime of single- and two-layer underparameterized linear neural networks within the continuum limit of stochastic gradient desce…
Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work
Sabine Theis, Sophie Jentzsch, Fotini Deligiannaki +3
The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-traffic control leads to systems that are practical and efficient, and to some ext…
Tensor networks for quantum machine learning
Hans-Martin Rieser, Frank Köster, Arne Peter Raulf
Once developed for quantum theory, tensor networks have been established as a successful machine learning paradigm. Now, they have been ported back to the quantum realm in the emer…