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Jonas Lederer

Showing results (1-10 of 5) with videos related to

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Nature Communications|November 10, 2025
Peering inside the black box by learning the relevance of many-body functions in neural network potentialsKlara Bonneau, Jonas Lederer, Clark Templeton, et al.
Journal of Chemical Theory and Computation|January 10, 2025
Analyzing Atomic Interactions in Molecules as Learned by Neural NetworksMalte Esders, Thomas Schnake, Jonas Lederer, et al.
The Journal of Chemical Physics|April 15, 2023
SchNetPack 2.0: A neural network toolbox for atomistic machine learningKristof T Schütt, Stefaan S P Hessmann, Niklas W A Gebauer, et al.
Physical Chemistry Chemical Physics : PCCP|September 26, 2023
Automatic identification of chemical moietiesJonas Lederer, Michael Gastegger, Kristof T Schütt, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 24, 2021
Higher-Order Explanations of Graph Neural Networks via Relevant WalksThomas Schnake, Oliver Eberle, Jonas Lederer, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Nature Communications|November 10, 2025
Peering inside the black box by learning the relevance of many-body functions in neural network potentialsKlara Bonneau, Jonas Lederer, Clark Templeton, et al.
Journal of Chemical Theory and Computation|January 10, 2025
Analyzing Atomic Interactions in Molecules as Learned by Neural NetworksMalte Esders, Thomas Schnake, Jonas Lederer, et al.
The Journal of Chemical Physics|April 15, 2023
SchNetPack 2.0: A neural network toolbox for atomistic machine learningKristof T Schütt, Stefaan S P Hessmann, Niklas W A Gebauer, et al.
Physical Chemistry Chemical Physics : PCCP|September 26, 2023
Automatic identification of chemical moietiesJonas Lederer, Michael Gastegger, Kristof T Schütt, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 24, 2021
Higher-Order Explanations of Graph Neural Networks via Relevant WalksThomas Schnake, Oliver Eberle, Jonas Lederer, et al.
Pageof 1