{"id":72,"date":"2018-07-24T16:23:34","date_gmt":"2018-07-24T14:23:34","guid":{"rendered":"https:\/\/project.inria.fr\/fastbig\/?page_id=72"},"modified":"2020-10-15T10:43:12","modified_gmt":"2020-10-15T08:43:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/fastbig\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

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  1. Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle, Cross-validation improved by aggregation: Agghoo<\/strong>, in minor revision in J. Mach. Learn. Res.<\/a>, (2020)<\/li>\n
  2. Chevalier, JA., Salmon, J., Gramfort, A., Thirion, B., Statistical control for spatio-temporal MEG\/EEG source imaging with desparsified multi-task Lasso.<\/strong> In Advances in Neural Information Processing Systems, 2020.<\/li>\n
  3. Nguyen T.-B., Chevalier J.-A., Thirion B., & Arlot S. (2020). Aggregation of Multiple Knockoffs<\/strong>. In Proceedings of the 37th International Conference on Machine Learning<\/em>, Vienna, Austria, PMLR 128.<\/li>\n
  4. Dexiong Chen, Laurent Jacob, and Julien Mairal, Convolutional Kernel Networks for Graph-Structured Data<\/strong>. International Conference on Machine Learning (ICML)<\/i>. 2020.<\/li>\n
  5. Dexiong Chen, Laurent Jacob, and Julien Mairal. Recurrent Kernel Networks,<\/strong>
    \nin Adv. Neural Information Processing Systems (NeurIPS) 2019<\/i><\/li>\n
  6. D. Chen, L. Jacob, and J. Mairal. Biological Sequence Modeling with Convolutional Kernel Networks.<\/strong> Bioinformatics<\/i>, volume 35, issue 18, pages 3294-3302, 2019. also accepted at RECOMB 2019<\/li>\n
  7. Nguyen TB., Chevalier JA., Thirion B. (2019) ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data<\/strong>. In: Chung A., Gee J., Yushkevich P., Bao S. (eds) Information Processing in Medical Imaging. IPMI 2019.<\/em> Lecture Notes in Computer Science, vol 11492. Springer, Cham.<\/li>\n
  8. Chevalier, JA., Salmon, J., & Thirion, B. (2018). Statistical inference with ensemble of clustered desparsified lasso<\/strong>. In International Conference on Medical Image Computing and Computer-Assisted Intervention<\/i> (pp. 638-646). Springer, Cham.<\/li>\n<\/ol>\n

    <\/p>","protected":false},"excerpt":{"rendered":"

    Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle, Cross-validation improved by aggregation: Agghoo, in minor revision in J. Mach. Learn. Res., (2020) Chevalier, JA., Salmon, J., Gramfort, A., Thirion, B., Statistical control for spatio-temporal MEG\/EEG source imaging with desparsified multi-task Lasso. In Advances in Neural Information Processing Systems, 2020. Nguyen T.-B., Chevalier\u2026<\/p>\n

    Continue reading<\/span><\/i><\/a> <\/p>\n","protected":false},"author":1449,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-72","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/pages\/72","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/users\/1449"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/comments?post=72"}],"version-history":[{"count":9,"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/pages\/72\/revisions"}],"predecessor-version":[{"id":167,"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/pages\/72\/revisions\/167"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/fastbig\/wp-json\/wp\/v2\/media?parent=72"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}