Risultati della ricerca - Germain, Pascal

Seeking Interpretability and Explainability in Binary Activated Neural Networks di Leblanc, Benjamin, Germain, Pascal

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On the Relationship Between Interpretability and Explainability in Machine Learning di Leblanc, Benjamin, Germain, Pascal

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A Framework for Bounding Deterministic Risk with PAC-Bayes: Applications to Majority Votes di Leblanc, Benjamin, Germain, Pascal

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Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses di Bazinet, Mathieu, Zantedeschi, Valentina, Germain, Pascal

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Bound to Disagree: Generalization Bounds via Certifiable Surrogates di Bazinet, Mathieu, Zantedeschi, Valentina, Germain, Pascal

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Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice di Gupta, Shubham, Ravanelli, Mirco, Germain, Pascal, Subakan, Cem

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Sample Compression for Self Certified Continual Learning di Comeau, Jacob, Bazinet, Mathieu, Germain, Pascal, Subakan, Cem

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Invariant Causal Set Covering Machines di Godon, Thibaud, Bauvin, Baptiste, Germain, Pascal, Corbeil, Jacques, Drouin, Alexandre

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Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks di Leblanc, Benjamin, Bazinet, Mathieu, D'Amours, Nathaniel, Drouin, Alexandre, Germain, Pascal

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PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers di Bastian, Julien, Leblanc, Benjamin, Germain, Pascal, Habrard, Amaury, Largeron, Christine, Metzler, Guillaume, Morvant, Emilie, Viallard, Paul

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