274 citations · 1.8k across the 48 of their papers we have counts for
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math.DS2021★ 17 cited
Deeptime: a Python library for machine learning dynamical models from time series data
Moritz Hoffmann, Martin Scherer, Tim Hempel +8
Generation and analysis of time-series data is relevant to many quantitative fields ranging from economics to fluid mechanics. In the physical sciences, structures such as metastab…
quant-ph2021★ 15 cited
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
Stefan Klus, Patrick Gelß, Feliks Nüske +1
We derive symmetric and antisymmetric kernels by symmetrizing and antisymmetrizing conventional kernels and analyze their properties. In particular, we compute the feature space di…