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Grégoire Montavon

Showing results (1-10 of 17) with videos related to

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Plos One|August 12, 2017
"What is relevant in a text document?": An interpretable machine learning approachLeila Arras, Franziska Horn, Grégoire Montavon, et al.
Genome Medicine|November 17, 2018
Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancersDaniel Heim, Grégoire Montavon, Peter Hufnagl, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 3, 2023
Learning domain invariant representations by joint Wasserstein distance minimizationLéo Andéol, Yusei Kawakami, Yuichiro Wada, et al.
Plos One|July 11, 2015
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance PropagationSebastian Bach, Alexander Binder, Grégoire Montavon, et al.
Nature Communications|March 13, 2019
Unmasking Clever Hans predictors and assessing what machines really learnSebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, et al.
Science Advances|October 23, 2024
Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tablesOliver Eberle, Jochen Büttner, Hassan El-Hajj, et al.
Journal of Chemical Theory and Computation|January 10, 2025
Analyzing Atomic Interactions in Molecules as Learned by Neural NetworksMalte Esders, Thomas Schnake, Jonas Lederer, et al.
NPJ Precision Oncology|June 7, 2022
Patient-level proteomic network prediction by explainable artificial intelligencePhilipp Keyl, Michael Bockmayr, Daniel Heim, et al.
Eclinicalmedicine|July 2, 2026
Prediction of hypertension and restenosis under guideline-directed management in aortic coarctation: development and validation of machine-learning modelsLea Fierley, Jakob Versnjak, Grischa Gabel, et al.
Nucleic Acids Research|January 11, 2023
Single-cell gene regulatory network prediction by explainable AIPhilipp Keyl, Philip Bischoff, Gabriel Dernbach, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Plos One|August 12, 2017
"What is relevant in a text document?": An interpretable machine learning approachLeila Arras, Franziska Horn, Grégoire Montavon, et al.
Genome Medicine|November 17, 2018
Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancersDaniel Heim, Grégoire Montavon, Peter Hufnagl, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 3, 2023
Learning domain invariant representations by joint Wasserstein distance minimizationLéo Andéol, Yusei Kawakami, Yuichiro Wada, et al.
Plos One|July 11, 2015
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance PropagationSebastian Bach, Alexander Binder, Grégoire Montavon, et al.
Nature Communications|March 13, 2019
Unmasking Clever Hans predictors and assessing what machines really learnSebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, et al.
Science Advances|October 23, 2024
Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tablesOliver Eberle, Jochen Büttner, Hassan El-Hajj, et al.
Journal of Chemical Theory and Computation|January 10, 2025
Analyzing Atomic Interactions in Molecules as Learned by Neural NetworksMalte Esders, Thomas Schnake, Jonas Lederer, et al.
NPJ Precision Oncology|June 7, 2022
Patient-level proteomic network prediction by explainable artificial intelligencePhilipp Keyl, Michael Bockmayr, Daniel Heim, et al.
Eclinicalmedicine|July 2, 2026
Prediction of hypertension and restenosis under guideline-directed management in aortic coarctation: development and validation of machine-learning modelsLea Fierley, Jakob Versnjak, Grischa Gabel, et al.
Nucleic Acids Research|January 11, 2023
Single-cell gene regulatory network prediction by explainable AIPhilipp Keyl, Philip Bischoff, Gabriel Dernbach, et al.
Pageof 2