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Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence
Kristof T. Schütt, Stefaan S.P. Hessmann, Niklas W.A. Gebauer, Jonas Lederer, Michael Gastegger
SchNetPack 2.0: A neural network toolbox for atomistic machine learning
Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification
Habib Mostafaei, Georgios Smaragdakis, Thomas Zinner, Anja Feldmann
Delay-Resistant Geo-Distributed Analytics
Felix Neutatz, Ziawasch Abedjan
What is “Good” Training Data? - Data Quality Dimensions that Matter for Machine Learning
Philipp Jurmeister, Stefanie Glöß, Renée Roller, Maximilian Leitheiser, Simone Schmid, Liliana H. Mochmann, Emma Payá Capilla, Rebecca Fritz, Carsten Dittmayer, Corinna Friedrich et al.
DNA methylation-based classification of sinonasal tumors
Çağkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire
On the Effective Usage of Priors in RSS-based Localization
Çağkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Dataset of Pathloss and ToA Radio Maps With Localization Application
Tom L. Kaufmann, Marina Petkovic, Thomas B. K. Watkins, Emma C. Colliver, Sofya Laskina, Nisha Thapa, Darlan C. Minussi, Nicholas Navin, Charles Swanton, Peter Van Loo et al.
MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
Tom L. Kaufmann, Marina Petkovic, Thomas B. K. Watkins, Emma C. Colliver, Sofya Laskina, Nisha Thapa, Darlan C. Minussi, Nicholas Navin, Charles Swanton, Peter Van Loo et al.