Publications

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

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