Klaus-Robert Müller
Technische Universität Berlin
H-index: 156
Europe-Germany
Top articles of Klaus-Robert Müller
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
An explainable AI framework for robust and transparent data-driven wind turbine power curve models | Energy and AI | Simon Letzgus Klaus-Robert Müller | 2024/1/1 |
Erklärbare Künstliche Intelligenz in der Pathologie | Frederick Klauschen Jonas Dippel Philipp Keyl Philipp Jurmeister Michael Bockmayr | 2024/2/5 | |
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments | Science Advances | Oliver T Unke Martin Stöhr Stefan Ganscha Thomas Unterthiner Hartmut Maennel | 2024/4/5 |
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark | Journal of the Franklin Institute | Sören Becker Johanna Vielhaben Marcel Ackermann Klaus-Robert Müller Sebastian Lapuschkin | 2024/1/1 |
From clustering to cluster explanations via neural networks | IEEE Transactions on Neural Networks and Learning Systems | Jacob Kauffmann Malte Esders Lukas Ruff Grégoire Montavon Wojciech Samek | 2024/2 |
XpertAI: uncovering model strategies for sub-manifolds | arXiv preprint arXiv:2403.07486 | Simon Letzgus Klaus-Robert Müller Grégoire Montavon | 2024/3/12 |
Mark My Words: Dangers of Watermarked Images in ImageNet | Kirill Bykov Klaus-Robert Müller Marina M-C Höhne | 2024/1/21 | |
Toward Explainable Artificial Intelligence for Precision Pathology | Frederick Klauschen Jonas Dippel Philipp Keyl Philipp Jurmeister Michael Bockmayr | 2024/1/24 | |
Deep Learning made transferable: studying Brain decoding | K-R Müller | 2024/2/26 | |
Manipulating Feature Visualizations with Gradient Slingshots | arXiv preprint arXiv:2401.06122 | Dilyara Bareeva Marina M-C Höhne Alexander Warnecke Lukas Pirch Klaus-Robert Müller | 2024/1/11 |
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks | Information Fusion | Lorenz Linhardt Klaus-Robert Müller Grégoire Montavon | 2024/3/1 |
Physics-informed bayesian optimization of variational quantum circuits | Advances in Neural Information Processing Systems | Kim Nicoli Christopher J Anders Lena Funcke Tobias Hartung Karl Jansen | 2024/2/13 |
Diffeomorphic counterfactuals with generative models | IEEE Transactions on Pattern Analysis and Machine Intelligence | Ann-Kathrin Dombrowski Jan E Gerken Klaus-Robert Müller Pan Kessel | 2024/5 |
RudolfV: A Foundation Model by Pathologists for Pathologists | arXiv preprint arXiv:2401.04079 | Jonas Dippel Barbara Feulner Tobias Winterhoff Simon Schallenberg Gabriel Dernbach | 2024/1/8 |
Explainable artificial intelligence in pathology | Frederick Klauschen Jonas Dippel Philipp Keyl Philipp Jurmeister Michael Bockmayr | 2024/2/5 | |
Disentangled explanations of neural network predictions by finding relevant subspaces | IEEE Transactions on Pattern Analysis and Machine Intelligence | Pattarawat Chormai Jan Herrmann Klaus-Robert Müller Grégoire Montavon | 2024/4/12 |
From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields | https://arxiv.org/pdf/2309.15126.pdf | J Thorben Frank Oliver T Unke Klaus-Robert Müller Stefan Chmiela | 2023/10 |
Explainability and transparency in the realm of digital humanities: toward a historian XAI | International Journal of Digital Humanities | Hassan El-Hajj Oliver Eberle Anika Merklein Anna Siebold Noga Shlomi | 2023/11 |
Accurate global machine learning force fields for molecules with hundreds of atoms | Science Advances | Stefan Chmiela Valentin Vassilev-Galindo Oliver T Unke Adil Kabylda Huziel E Sauceda | 2023 |
Evaluating deep transfer learning for whole-brain cognitive decoding | Journal of the Franklin Institute | Armin W Thomas Ulman Lindenberger Wojciech Samek Klaus-Robert Müller | 2023/7/13 |
Co-Authors
