Jonas Lederer
Jonas Lederer
PhD student, TU Berlin
Verified email at - Homepage
Cited by
Cited by
Higher-order explanations of graph neural networks via relevant walks
T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ...
IEEE transactions on pattern analysis and machine intelligence 44 (11), 7581 …, 2021
Toward explainable artificial intelligence for regression models: A methodological perspective
S Letzgus, P Wagner, J Lederer, W Samek, KR Müller, G Montavon
IEEE Signal Processing Magazine 39 (4), 40-58, 2022
Machine learning–based charge transport computation for pentacene
J Lederer, W Kaiser, A Mattoni, A Gagliardi
Advanced Theory and Simulations 2 (2), 1800136, 2019
SchNetPack 2.0: A neural network toolbox for atomistic machine learning
KT Schütt, SSP Hessmann, NWA Gebauer, J Lederer, M Gastegger
The Journal of Chemical Physics 158 (14), 2023
Automatic identification of chemical moieties
J Lederer, M Gastegger, KT Schütt, M Kampffmeyer, KR Müller, OT Unke
Physical Chemistry Chemical Physics 25 (38), 26370-26379, 2023
Machine learning for predicting charge transfer integrals in organic thin films
M Rinderle, J Lederer, W Kaiser, A Gagliardi
European Materials Research Society Spring Meeting, Presentation AA. 6.2, 2019
Machine Learning Based Ab Initio Numerical Study of Charge Transport within Non-Crystalline Organic Semiconductors
W Kaiser, J Lederer, A Gagliardi
Materials Research Society Fall Meeting, Materials Research Society (MRS …, 2018
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