Stefan Chmiela

According to our database, Stefan Chmiela authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Euclidean Fast Attention: Machine Learning Global Atomic Representations at Linear Cost.

J. Thorben Frank, Stefan Chmiela, Klaus-Robert Müller, Oliver T. Unke

CoRR, 2024

2023

Local Function Complexity for Active Learning via Mixture of Gaussian Processes.

Danny Panknin, Stefan Chmiela, Klaus-Robert Müller, Shinichi Nakajima

Trans. Mach. Learn. Res., 2023

From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields.

J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller, Stefan Chmiela

CoRR, 2023

2022

Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence.

Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela

CoRR, 2022

Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields.

Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela

CoRR, 2022

2021

BIGDML: Towards Exact Machine Learning Force Fields for Materials.

Huziel E. Sauceda, Luis E. Gálvez-González, Stefan Chmiela, Lauro Oliver Paz-Borbón, Klaus-Robert Müller, Alexandre Tkatchenko

CoRR, 2021

Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems.

J. Thorben Frank, Stefan Chmiela

CoRR, 2021

SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects.

Oliver T. Unke, Stefan Chmiela, Michael Gastegger, Kristof T. Schütt, Huziel E. Sauceda, Klaus-Robert Müller

CoRR, 2021

2019

sGDML: Constructing accurate and data efficient molecular force fields using machine learning.

Stefan Chmiela, Huziel Enoc Sauceda Felix, Igor Poltavsky, Klaus-Robert Müller, Alexandre Tkatchenko

Comput. Phys. Commun., 2019

2017

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions.

Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017