Grégoire Montavon
Orcid: 0000-0001-7243-6186Affiliations:
- TU Berlin, Institute of Software Engineering and Theoretical Computer Science, Germany
According to our database1,
Grégoire Montavon
authored at least 63 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Inf. Fusion, March, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
2023
Learning domain invariant representations by joint Wasserstein distance minimization.
Neural Networks, October, 2023
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective.
IEEE Signal Process. Mag., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning.
Datenbank-Spektrum, 2022
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces.
CoRR, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Proc. IEEE, 2021
2020
Pattern Recognit., 2020
XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks.
CoRR, 2020
CoRR, 2020
Appl. Netw. Sci., 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
CoRR, 2019
2018
Digit. Signal Process., 2018
CoRR, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Pattern Recognit., 2017
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017
2016
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation.
CoRR, 2016
CoRR, 2016
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
2013
Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment.
IEEE Signal Process. Mag., 2013
2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010