Grégoire Montavon
Technische Universität Berlin
H-index: 38
Europe-Germany
Top articles of Grégoire Montavon
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Erklärbare Künstliche Intelligenz in der Pathologie | Frederick Klauschen Jonas Dippel Philipp Keyl Philipp Jurmeister Michael Bockmayr | 2024/2/5 | |
Explainable AI for time series via virtual inspection layers | Pattern Recognition | Johanna Vielhaben Sebastian Lapuschkin Grégoire Montavon Wojciech Samek | 2024/2/2 |
Explaining Predictive Uncertainty by Exposing Second-Order Effects | arXiv preprint arXiv:2401.17441 | Florian Bley Sebastian Lapuschkin Wojciech Samek Grégoire Montavon | 2024/1/30 |
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 |
Toward explainable artificial intelligence for precision pathology | Frederick Klauschen Jonas Dippel Philipp Keyl Philipp Jurmeister Michael Bockmayr | 2024/1/24 | |
XpertAI: uncovering model strategies for sub-manifolds | arXiv preprint arXiv:2403.07486 | Simon Letzgus Klaus-Robert Müller Grégoire Montavon | 2024/3/12 |
Preemptively pruning Clever-Hans strategies in deep neural networks | Information Fusion | Lorenz Linhardt Klaus-Robert Müller Grégoire Montavon | 2024/3/1 |
Shortcomings of top-down randomization-based sanity checks for evaluations of deep neural network explanations | Alexander Binder Leander Weber Sebastian Lapuschkin Grégoire Montavon Klaus-Robert Müller | 2023 | |
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI | arXiv preprint arXiv:2310.09091 | Oliver Eberle Jochen Büttner Hassan El-Hajj Grégoire Montavon Klaus-Robert Müller | 2023/10/13 |
Learning domain invariant representations by joint Wasserstein distance minimization | Neural Networks | Léo Andéol Yusei Kawakami Yuichiro Wada Takafumi Kanamori Klaus-Robert Müller | 2023/10/1 |
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence | medRxiv | Julius Keyl Philipp Keyl Gregoire Montavon Rene Hosch Alexander Brehmer | 2023/10/12 |
Single-cell gene regulatory network prediction by explainable AI | Nucleic Acids Research | Philipp Keyl Philip Bischoff Gabriel Dernbach Michael Bockmayr Rebecca Fritz | 2023/2/28 |
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation | Sidney Bender Christopher J Anders Pattarawat Chormai Heike Antje Marxfeld Jan Herrmann | 2023 | |
Relevant Walk Search for Explaining Graph Neural Networks | ICML | Ping Xiong Thomas Schnake Michael Gastegger Grégoire Montavon Klaus Robert Muller | 2023/4/24 |
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 |
Higher-order explanations of graph neural networks via relevant walks | IEEE Transactions on Pattern Analysis and Machine Intelligence | Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T Schütt | 2022 |
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing | Ping Xiong Thomas Schnake Grégoire Montavon Klaus-Robert Müller Shinichi Nakajima | 2022/6/28 | |
Toward explainable artificial intelligence for regression models: A methodological perspective | Simon Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Müller | 2022/6/28 | |
Patient-level proteomic network prediction by explainable artificial intelligence | NPJ Precision Oncology | Philipp Keyl Michael Bockmayr Daniel Heim Gabriel Dernbach Grégoire Montavon | 2022/6/7 |
Explaining the Decisions of Convolutional and Recurrent Neural Networks | Mathematical Aspects of Deep Learning | Wojciech Samek Leila Arras Ahmed Osman Grégoire Montavon Klaus-Robert Müller | 2022/12/22 |
Co-Authors
