Jonas Lederer

According to our database, Jonas Lederer authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

2022

Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective.

Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon

IEEE Signal Process. Mag., 2022

Higher-Order Explanations of Graph Neural Networks via Relevant Walks.

Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Automatic Identification of Chemical Moieties.

Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T. Unke

CoRR, 2022

2021

Toward Explainable AI for Regression Models.

Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon

CoRR, 2021

2020

XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks.

Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon

CoRR, 2020