Jonas Lederer
Jonas Lederer
Doctoral Researcher
- Quantum Chemistry
- Materials Science
- Physics
- Machine Learning
Jonas Lederer
Structural interpretability for deep learning in quantum chemistry
Thomas Schnake, Farnoush Rezaei Jafaria, Jonas Lederer, Ping Xiong, Shinichi Nakajima, Stefan Gugler, Grégoire Montavon, Klaus-Robert Müller
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features
Malte Esders, Thomas Schnake, Jonas Lederer, Adil Kabylda, Grégoire Montavon, Alexandre Tkatchenko, Klaus-Robert Müller
Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
Klara Bonneau, Jonas Lederer, Clark Templeton, David Rosenberger, Klaus-Robert Müller, Cecilia Clementi
Peering inside the black box: Learning the relevance of many-body functions in Neural Network potentials
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
Symbolic XAI
Researchers at BIFOLD have been exploring how to make AI explain itself in the same way, people explain themselves. The team’s work focuses on making AI predictions as clear and intuitive as a human explanation.