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Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI.

, , , , , и . CoRR, (2023)

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Grégoire Montavon

Grégoire Laurence

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Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI., , , , , и . CoRR, (2023)Learning domain invariant representations by joint Wasserstein distance minimization., , , , , и . Neural Networks, (октября 2023)Building and Interpreting Deep Similarity Models., , , , , и . CoRR, (2020)Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective., , , , , и . IEEE Signal Process. Mag., 39 (4): 40-58 (2022)Efficient Computation of Higher-Order Subgraph Attribution via Message Passing., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 24478-24495. PMLR, (2022)XAI for Transformers: Better Explanations through Conservative Propagation., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 435-451. PMLR, (2022)MambaLRP: Explaining Selective State Space Sequence Models., , , и . CoRR, (2024)XpertAI: uncovering model strategies for sub-manifolds., , и . CoRR, (2024)Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations., , , , , и . CVPR, стр. 16143-16152. IEEE, (2023)Learning Invariant Representations of Molecules for Atomization Energy Prediction., , , , , , , , и . NIPS, стр. 449-457. (2012)