Michael Scherbela

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Statistical Learning

Markovian Decision

Hamilton Jacobi

Top Venues

Comput. Phys. Commun.

Nat. Comput. Sci.

Publications

Leon Gerard, Michael Scherbela, Halvard Sutterud, W. Matthew C. Foulkes, Philipp Grohs
Transferable Neural Wavefunctions for Solids. CoRR (2024)
Michael Scherbela, Leon Gerard, Philipp Grohs
Variational Monte Carlo on a Budget - Fine-tuning pre-trained Neural Wavefunctions. NeurIPS (2023)
Michael Scherbela, Leon Gerard, Philipp Grohs
Variational Monte Carlo on a Budget - Fine-tuning pre-trained Neural Wavefunctions. CoRR (2023)
Michael Scherbela, Leon Gerard, Philipp Grohs
Towards a Foundation Model for Neural Network Wavefunctions. CoRR (2023)
Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? CoRR (2022)
Michael Scherbela, Rafael Reisenhofer, Leon Gerard, Philipp Marquetand, Philipp Grohs
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks. Nat. Comput. Sci. 2 (5) (2022)
Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? NeurIPS (2022)
Michael Scherbela, Rafael Reisenhofer, Leon Gerard, Philipp Marquetand, Philipp Grohs
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks. CoRR (2021)
Lukas Hörmann, Andreas Jeindl, Alexander T. Egger, Michael Scherbela, Oliver T. Hofmann
SAMPLE: Surface structure search enabled by coarse graining and statistical learning. Comput. Phys. Commun. 244 (2019)