Stefan Chmiela

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Top Venues

Comput. Phys. Commun.

Trans. Mach. Learn. Res.

Publications

Danny Panknin, Stefan Chmiela, Klaus-Robert Müller, Shinichi Nakajima
Local Function Complexity for Active Learning via Mixture of Gaussian Processes. Trans. Mach. Learn. Res. 2023 (2023)
J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller, Stefan Chmiela
From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields. CoRR (2023)
Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence. CoRR (2022)
Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela
Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields. CoRR (2022)
Huziel E. Sauceda, Luis E. Gálvez-González, Stefan Chmiela, Lauro Oliver Paz-Borbón, Klaus-Robert Müller, Alexandre Tkatchenko
BIGDML: Towards Exact Machine Learning Force Fields for Materials. CoRR (2021)
Oliver T. Unke, Stefan Chmiela, Michael Gastegger, Kristof T. Schütt, Huziel E. Sauceda, Klaus-Robert Müller
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects. CoRR (2021)
Thorben Frank, Stefan Chmiela
Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems. CoRR (2021)
Stefan Chmiela, Huziel Enoc Sauceda Felix, Igor Poltavsky, Klaus-Robert Müller, Alexandre Tkatchenko
sGDML: Constructing accurate and data efficient molecular force fields using machine learning. Comput. Phys. Commun. 240 (2019)
Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. NIPS (2017)