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Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation


Aug 29, 2022
Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe

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* Code available at https://github.com/montefiore-ai/balanced-nre 

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Robust Hybrid Learning With Expert Augmentation


Feb 09, 2022
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen

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SAE: Sequential Anchored Ensembles


Dec 30, 2021
Arnaud Delaunoy, Gilles Louppe

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* 4 pages, NeurIPS 2021 Bayesian Deep Learning workshop 

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From global to local MDI variable importances for random forests and when they are Shapley values


Nov 03, 2021
Antonio Sutera, Gilles Louppe, Van Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

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* 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia 

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Averting A Crisis In Simulation-Based Inference


Oct 14, 2021
Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Gilles Louppe

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Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference


Oct 01, 2021
François Rozet, Gilles Louppe

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* 4 pages, 3 figures, submitted to the Machine Learning and the Physical Sciences workshop at NeurIPS 2021 

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Simulation-based Bayesian inference for multi-fingered robotic grasping


Sep 29, 2021
Norman Marlier, Olivier Brüls, Gilles Louppe

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Truncated Marginal Neural Ratio Estimation


Jul 02, 2021
Benjamin Kurt Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger

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* 9 pages. 23 pages with references and supplemental material. Code available at http://github.com/bkmi/tmnre/ Underlying library http://github.com/undark-lab/swyft/ 

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Diffusion Priors In Variational Autoencoders


Jun 29, 2021
Antoine Wehenkel, Gilles Louppe

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