456 citations · 955 across the 15 of their papers we have counts for
Showing 2021Show all
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hep-lat2021★ 20 cited
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse
Kim A. Nicoli, Christopher Anders, Lena Funcke +5
Estimating the free energy, as well as other thermodynamic observables, is a key task in lattice field theories. Recently, it has been pointed out that deep generative models can b…
astro-ph.EP2021★ 16 cited
Deep learning for surrogate modelling of 2D mantle convection
Siddhant Agarwal, Nicola Tosi, Pan Kessel +2
Traditionally, 1D models based on scaling laws have been used to parameterized convective heat transfer rocks in the interior of terrestrial planets like Earth, Mars, Mercury and V…