Working papers and preprints

  • Y. Jiao, J.-P. Vert.
    Network-based Wavelet Smoothing for Analysis of Genomic Data.
    Under preparation.
  • Y. Jiao, M. Hidalgo, C. Çubuk, A. Amadoz, J. Carbonell-Caballero, J.-P. Vert, J. Dopazo.
    Signaling Pathway Activities Improve Prognosis for Breast Cancer.
    Submitted to Bioinformatics.
    [preprint] [code]
  • E. Bernard*, Y. Jiao*, E. Scornet, V. Stoven, T. Walter, J.-P. Vert.
    Kernel Multitask Regression for Toxicogenetics.
    Molecular Informatics. To appear.
    [preprint] [code] [video]
  • Y. Jiao, J.-P. Vert.
    The Kendall and Mallows Kernels for Permutations.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). To appear.
    [preprint] [code]

Published papers

  • Y. Jiao, A. Korba, E. Sibony.
    Controlling the Distance to a Kemeny Consensus without Computing It.
    Proceedings of the 33rd International Conference on Machine Learning (ICML-16), pp. 2971-2980, 2016.
    [link] [slides] [poster] [video]
  • F. Eduati, L. Mangravite, T. Wang, H. Tang, J. Bare, R. Huang, T. Norman, M. Kellen, M. Menden, J. Yang, X. Zhan, R. Zhong, G. Xiao, M. Xia, N. Abdo, O. Kosyk; NIEHS-NCATS-UNC DREAM Toxicogenetics Collaboration.
    Prediction of Human Population Responses to Toxic Compounds by a Collaborative Competition.
    Nature Biotechnology, 33(9), 933-940, 2015.
    [link]
  • Y. Jiao, J.-P. Vert.
    The Kendall and Mallows Kernels for Permutations.
    Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pp. 1935-1944, 2015.
    [link] [slides] [poster] [video]

Patents and patent applications

  • Y. Jiao, J.-P. Vert, F. Heinemann, S. Dahlmanns, S. Kobel.
    Failure State Prediction for Automated Analyzers for Analyzing a Biological Sample.
    Pending European Patent. Filed by Roche Diagnostics GmbH, F. Hoffmann-La Roche AG, December 2016.