Talks

Jul 03, 2023. Large language models for DNA and proteins. Institut Pasteur symposium on AI in biology and health, Paris, France.
Feb 27, 2023. Deep learning for biological sequences. University of Toronto, Toronto, Canada.
Jan 25, 2023. AI in medicine and drug discovery. MathTech meeting, Bures-sur-Yvette, France.
Nov 28, 2022. AI in medicine, new approaches. National Academy of Pharmacy, Paris, France.
Oct 19, 2022. Deep learning for biological sequences. MLFPM symposium, Munich, Germany.
Oct 07, 2022. AI in health and genomics. 5th course on breast cancer, from clinics to biology, Institut Curie, Paris, France.
Jul 16, 2022. Deep learning for biological sequences. International Genome Graph Symposium (IGGSy'22), Ascona, Switzerland.
May 25, 2022. Learning to align biological sequences. The third annual workshop of the Koret - Berkeley - Tel Aviv University Initiative, Tel Aviv, Israel.
May 25, 2022. Computational analysis of tumor heterogeneity. The 25th Human Genome meeting (HGM'22), Tel Aviv, Israel.
Feb 16, 2022. Machine learning against cancer. Sorbonne Center for Artificial Intelligence (SCAI), Sorbonne University (virtual), Paris, France.
Nov 30, 2021. Deep learning for biological sequences. Computational Biology Department Days, Pasteur Institute, Les Barils, France.
Nov 17, 2021. Machine learning for single cell omics. ELLIS Life / NCT Data Science seminar, Heidelberg University (virtual), Heidelberg, Germany.
Nov 16, 2021. Machine learning against cancer. #FocusAI conference, Institut Henri Poincare, Paris, France.
Nov 09, 2021. Deep embedding of biological sequences. Mathematical Institute for Data Science seminar, Johns Hopkins University (virtual), Baltimore, USA.
Oct 15, 2021. Framing RNN as a kernel method: a neural ODE approach. Learning theory workshop, Google (virtual), New-York, USA.
Oct 01, 2021. Machine learning for single-cell omics data. When AI meets Biology: a workshop (virtual), Lyon, France.
Sep 27, 2021. Machine learning against cancer. 4th course on Computational Systems Biology of Cancer, Institut Curie, Paris, France.
Jul 07, 2021. Deep embedding of biological sequences. JOBIM'21 (virtual), Paris, France.
Jul 06, 2021. Machine learning against cancer. PAISS summer school (virtual), Paris, France.
Jun 23, 2021. Deep embedding of biological sequences. AI and data science for biology symposium, Sorbonne University, Paris, France.
Feb 03, 2021. Computational analysis of tumour heterogeneity, from bulk to single-cell genomics. Computational medicine and bioinformatics seminar, University of Michigan (virtual), Ann Arbor, USA.
Aug 20, 2020. Differentiable ranking and sorting. Google Research India AI summer school (virtual), Bengalore, India.
Jun 22, 2020. Differentiable ranking and sorting. CIS colloquim, EPFL (virtual), Lausanne, Switzerland.
Jan 22, 2020. Computational analysis of tumour heterogeneity, from bulk to single-cell genomics. Bioinformatics Center, Kyoto University, Kyoto, Japan.
Jan 20, 2020. Learning from single-cell genomic data. ICBBB'20, Kyoto, Japan.
Jan 14, 2020. Learning from ranks, learning to rank. Statistics and Computation workshop at the Alan Turing Institute, London, UK.
Dec 02, 2019. Computational analysis of tumour heterogeneity, from bulk to single-cell genomics. ICB seminar, Helmholtz Center, Munich, Germany.
Nov 27, 2019. Learning from ranks, learning to rank. SOLARIS workshop, INRIA, Grenoble, France.
Nov 08, 2019. Single-cell genomics: Learning gene networks and integrating multi-omics data. LifeTime unconference 2.0, Montpellier, France.
Oct 15, 2019. Jointly embedding multiple single-cell omics measurements. Cellimageomics workshop, Paris, France.
Sep 18, 2019. Learning from ranks, learning to rank. Data Science Day, MINES ParisTech , Paris, France.
Sep 12, 2019. Network inference from single cell data. EMBO workshop Network inference in biology and disease, Naples, Italy.
Sep 05, 2019. Post-Selection Inference for Nonlinear Feature Selection. DALI'19, San Sebastian, Spain.
May 28, 2019. Machine learning for precision medicine. Google Accra inaugural AI Symposium, Accra, Ghana.
May 24, 2019. Machine learning for precision medicine. The future of epidemiology in the big data era symposium, College de France, Paris, France.
May 22, 2019. Machine learning for precision medicine. Chaire Pari seminar, Paris, France.
Apr 05, 2019. Machine learning on the symmetric group. Imaging and machine learning workshop, Institut Henri Poincaré, Paris, France.
Mar 21, 2019. Machine learning on the symmetric group. Artificial intelligence and physics, Institut Pascal, Orsay, France.
Feb 12, 2019. Machine learning for precision medicine. Ethics, Law and New applications of AI seminar, Ecole Polytechnique, Saclay, France.
Dec 18, 2018. Learning from permutations. Journees des prix mathematiques de l'Academie des Sciences, Rennes, France.
Oct 16, 2018. Relating Leverage Scores and Density using Regularized Christoffel Functions. Learning theory workshop, Google, Mountain View, USA.
Oct 09, 2018. From DNA mutations to embeddings of permutations. Seminaire des eleves, Orsay University, Orsay, France.
Aug 01, 2018. Learning with permutations. Takeuchi lab seminar, Nagoya Institute of Technology, Nagoya, Japan.
Jul 14, 2018. Some challenges with single-cell gene expression data. Joint ICML and IJCAI Workshop on Computational Biology, Stockholm, Sweden.
Jun 26, 2018. Machine learning for precision medicine. 2nd Data Science Summer School, Ecole Polytechnique, Palaiseau, France.
May 18, 2018. The 3D genome. 3nd GENMED Workshop on Medical Genomics, Institut Pasteur, Paris, France.
May 17, 2018. Machine learning for precision medicine. The 14th ICGC/1st ICGC-ARGO Scientific Workshop, Paris, France.
Apr 04, 2018. Patient stratification from somatic mutation profiles using gene networks. First NCI - Institut Curie Symposium, Institut Curie, Paris, France.
Mar 22, 2018. Perm2vec. Deep learning: theory, algorithms and applications, RIKEN AIP, Tokyo, Japan.
Mar 09, 2018. Machine learning for patient stratification from genomic data. From molecules and cells to human health: ideas and concepts workshop, IHES, Bures-sur-Yvette, France.
Dec 08, 2017. A weighted Kendall kernel. Learning on Distributions, Functions, Graphs and Groups workship, NeurIPS'17, Long Beach, USA.
Nov 20, 2017. Machine learning for patient stratification from genomic data. Neurospin, Saclay, France.
Oct 20, 2017. Learning on the symmetric group. Department of Statistics, Imperial College, London, UK.
Oct 11, 2017. Graph wavelets to analyze genomic data with biological networks. Emerging Topics in Biological Networks and Systems Biology symposium, Swedish Collegium for Advanced Study, Uppsala, Sweden.
Sep 29, 2017. Machine learning on the symmetric group. Google Tech talk, Zurich, Switzerland.
Sep 21, 2017. Learning on the symmetric group. 1st France-Japan machine learning workshop, ENS Paris, Paris, France.
Sep 15, 2017. Identifying predictive biomarkers in high-dimensional genomic data from randomized clinical trials. 8th SFdS International Meeting on Statistical Methods in Biopharmacy, Paris, France.
Jul 13, 2017. Learning on the symmetric group. Mathematical methods of modern statistics workshop, CIRM, Luminy, France.
Jul 04, 2017. Machine learning for cancer precision medicine. AI and health seminar, National Academy of Medicine, Paris, France.
Jun 29, 2017. ZinbWave, a general and flexible method for signal extraction from single-cell RNA-seq data. Algorithmic challenges in genomics reunion workshop, Simons Institute, UC Berkeley, Berkeley, USA.
Jun 12, 2017. Learning on the symmetric group. StatScale workshop, Lancaster University, Lancaster, UK.
Mar 28, 2017. Cancer stratification from mutation profiles. BIRS workshop on Statistical and Computational Challenges in Large Scale Molecular Biology, Banff, Canada.
Mar 09, 2017. Machine learning for patient stratification from genomic data. LCQB seminar, Paris 6 University, Paris, France.
Mar 07, 2017. Machine learning for precision medicine. BIG N2N seminar, Ghent University, Ghent, Berlgium.
Jan 27, 2017. Machine learning for patient stratification from genomic data. Distinguished speaker seminar, Department of Statistics, University of Oxford, Oxford, UK.
Jan 18, 2017. Machine learning for patient stratification from genomic data. Distinguished speaker colloquium, Max Planck Institute for Informatics, Saarbrücken, Germany.
Dec 15, 2016. Cancer prognosis on the symmetric group. CFM-ENS data science chair inauguration, ENS Paris, Paris, France.
Dec 01, 2016. Machine learning for patient stratification from genomic data. Paris Sciences and Data, Institut Curie, Paris, France.
Nov 02, 2016. Fighting cancer with chinese lanterns. Les Mathematiques seminar, ENS Paris, Paris, France.
Oct 10, 2016. Machine learning for precision medicine. Krupp symposium From Machine Learning to Personalized Medicine, Max Planck Institute, Munich, Germany.
Oct 10, 2016. Can big data cure cancer?. Data Science Colloquium, ENS Paris, Paris, France.
Oct 07, 2016. Machine learning for computational genomics and precision medicine. Distinguished speaker lecture, KAIST, Daejeon, South Korea.
May 05, 2016. Patient stratification and cancer prognosis from molecular profiles. Computational biology seminar, Memorial Sloan Kettering Cancer Center, New York, USA.
Feb 05, 2016. Learning from Omics Data. Computational cancer biology workshop, Simons Institute, UC Berkeley, Berkeley, USA.
Dec 11, 2015. Learning from rankings. Nonparametric Methods for Large Scale Representation Learning workshop, NIPS'15, Montreal, Canada.
Nov 24, 2015. Can big data cure cancer?. Miller Institute, UC Berkeley, Berkeley, USA.
Nov 05, 2015. Machine Learning for Toxicogenetics and Drug Response Prediction. Festival of Genomics, San Mateo, USA.
Aug 06, 2015. Learning in high dimension. BIRS workshop on Statistical and Computational Challenges In Bridging Functional Genomics, Epigenomics, Molecular QTLs, and Disease Genetics, Banff, Canada.
Apr 16, 2015. A Convex Formulation for Joint RNA Isoform Detection and Quantification from Multiple RNA-Seq Samples. Statistics and Genomics seminar, UC Berkeley, Berkeley, USA.
Mar 16, 2015. Machine learning for personalized genomics. C3BI kick-off meeting, Institut Pasteur, Paris, France.
Feb 27, 2015. Machine learning for personalized genomics. Computational Biology Institute, Montpellier, France.
Jan 27, 2015. Structured feature selection. U900 lab meeting, Institut Curie, Paris, France.
Jan 12, 2015. New matrix norms for structured matrix estimation. Optimization and Statistical Learning workshop (OSL'15), Les Houches, France.
Nov 21, 2014. Machine learning for personalized medicine. PROSPECTOM workshop, Grenoble, France.
Nov 06, 2014. Machine learning for personalized medicine. Grenoble Computer Science Laboratory, Grenoble, France.
Oct 10, 2014. New matrix norms for structured matrix estimation. Sparse Representations, Numerical Linear Algebra, and Optimization workshop, BIRS, Banff, Canada.
Oct 02, 2014. Reconstructing the 3D architecture of the genome. CEA, Grenoble, France.
Jul 24, 2014. Machine learning for personalized medicine. Genentech, South San Francisco, USA.
Jul 07, 2014. Inferring a genome 3D structure and how it is related to gene regulation in malaria parasite. RADIANT project meeting, EMBL, Heidelberg, Germany.
Jun 30, 2014. Machine learning for personalized genomics. Paris-Saclay Center for Data Science kick-off meeting, Saclay, France.
Jun 26, 2014. Inferring a genome 3D structure and how it is related to gene regulation in malaria parasite. ABS4NGS project meeting, Lyon, France.
Jun 05, 2014. Machine learning for personalized medicine. 46th annual days of Statistics, Rennes, France.
May 14, 2014. Machine learning for personalized medicine. SeMoVi seminar, Grenoble, France.
Apr 29, 2014. Kernel methods and computational biology. Machine Learning Summer School, Reykjavik University, Reykjavik Iceland.
Apr 24, 2014. Machine learning for personalized medicine. MascotNum workshop, ETH Zurich, Zurich, Switzerland.
Apr 02, 2014. Le nombre d'or. Gouter scientifique pour 10-15 ans, Mines ParisTech, Fontainebleau, France.
Mar 29, 2014. Learning with kernels: an introduction. Kernel methods for big data workshop, Polytech'Lille, Lille, France.
Jan 17, 2014. The group fused Lasso for multiple change-point detection. Inference for Change-Point and Related Processes workshop, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK.
Dec 03, 2013. On segmentation of DNA copy number profiles. Biostatistics seminar, UC Berkeley, Berkeley, USA.
Nov 13, 2013. Machine learning for personalized Medicine. ML meetup, Paris, France.
Oct 16, 2013. On segmentation of DNA copy number profiles. Genome Sciences seminar, University of Washington, Seattle, USA.
Aug 06, 2013. Machine learning in computational biology (the frequentist approach). Machine Learning for Personalized Medicine summer school, Tuebingen, Germany.
Aug 06, 2013. Flip-Flop: fast lasso-based isoform prediction from RNA-Seq data. 2013 International Workshop on Machine Learning and Applications in Biology (MLAB'13), Sapporo, Japan.
Aug 01, 2013. On segmentation of DNA copy number profiles. 13th Annual International Workshop on Bioinformatics and Systems Biology (IBSB'13), Kyoto, Japan.
Jul 12, 2013. Flip-Flop: fast lasso-based isoform prediction from RNA-Seq data. Bioinformatics Center, Kyoto University, Kyoto, Japan.
Jul 01, 2013. Learning with structured sparsity in computational biology. Departments of Informatics, Kyoto University, Kyoto, Japan.
Jun 18, 2013. Learning with structured sparsity in computational biology. Eighth IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB'13), Nice, France.
May 28, 2013. Fast sparse methods for genomic data. Congress SMAI'13, Seignosse, France.
Apr 16, 2013. Fast sparse methods for genomic data. Chalmers University, Gothenburg, Sweden.
Jan 10, 2013. Fast sparse methods for genomic data. Optimization and statistical learning workshop (OSL'13), Les Houches, France.
Nov 08, 2012. Learning with structured sparsity in computational biology. The 15th information-based inductive science workshop (IBIS'12), Tsukuba University, Tokyo, Japan.
Sep 15, 2012. Machine learning for predictive biology. From phenotypes to pathways 2012 workshop, Lucy Cavendish College, Cambridge, UK.
Aug 06, 2012. Structured feature selection for genomic data. 2012 Sapporo Workshop on Machine Learning and Applications to Biology, Sapporo, Japan.
Jul 09, 2012. Structured feature selection for genomic data. 8th World Congress in Probability and Statistics, Istanbul, Turkey.
Mar 29, 2012. Group lasso for genomic data. IMA workshop on Machine Learning: Theory and Computation, University of Minnesota, Minneapolis, USA.
Feb 09, 2012. Machine learning with prior knowledge for genomic data. Statistics and genomics seminar, UC Berkeley, Berkeley, CA, USA..
Feb 06, 2012. Machine learning with prior knowledge for genomic data. UCLA Bioinformatics seminar, Los Angeles, CA, USA.
Jan 19, 2012. Group lasso for genomic data. Department of statistics, University of Oxford, Oxford, UK.
Nov 28, 2011. Machine learning in cancer genomics. Modeling and analysis in the life sciences conference, Tokyo, Japan.
Nov 14, 2011. Machine learning in cancer genomics. Machine learning seminar, UCL, Louvain-la-Neuve, Belgium.
Nov 10, 2011. Machine learning in cancer genomics. Mathematics and Systems seminar, Mines ParisTech, Paris, France.
Nov 08, 2011. Machine learning and feature selection in bioinformatics. Machine learning for neuroimaging workshop, Marseille, France.
Sep 15, 2011. Inference of gene regulatory networks. From phenotypes to pathways ESF exploratory workshop, Lucy Cavendish College, Cambridge, UK.
Jul 04, 2011. Machine learning in bioinformatics. Biointelligence symposium, Sophia Antipolis, France.
Jun 17, 2011. Machine learning for cancer genomics. Informatics and mathematics sciences: interactions with biomedical sciences workshop, Paris, France.
Apr 05, 2011. Genomique et apres-genome: promesses et defis. Public talk, Theatre de Fontainebleau, Fontainebleau, France.
Mar 17, 2011. Including prior knowledge in machine learning for genomic data. StatLearn'11, Grenoble, France.
Jan 17, 2011. On feature selection and pattern detection in high dimension. Point de vue seminar, Paris 7 University, Paris, France.
Jan 07, 2011. Inference of biological networks: from de novo to supervised approaches. University College London, London, UK.
Nov 08, 2010. Machine learning in computational and systems biology. Malaysia Genome Institute, Bangi Selangor, Malaysia.
Sep 28, 2010. Statistical inference for complex systems. U900 seminar, Institut Curie, Paris, France.
Sep 13, 2010. Some topics on machine learning in bioinformatics. 50th workhop on Optimization, machine learning and bioinformatics, Centre Ettore Majorna for Scientific Culture, Erice, Italy.
Sep 09, 2010. Some challenges in high-throughput high-content phenotypic screening. From phenotypes to pathways ESF exploratory workshop, Lucy Cavendish College, Cambridge, UK.
Sep 02, 2010. Multiple change-point detection in multiple signals. Mathematical Statistics and Applications Workshop, Frejus, France..
Jul 26, 2010. Including prior knowledge in machine learning for genomic data. 10th annual International Workshop on Bioinformatics and Systems Biology (IBSB'10), Kyoto University, Kyoto, Japan..
Jul 20, 2010. Including prior knowledge in shrinkage classifiers for genomic data. Statistical Genomics in Biomedical Research workshop, Banff International Research Station (BIRS), Banff, Canada.
May 06, 2010. Shrinkage classifiers for genomic and chemical data. 1st spring school on machine learning (EPAT'10), Cap Hornu, France.
May 06, 2010. Machine learning for ligand-based virtual screening and chemogenomics. 2nd Strasbourg Summer School on Chemoinformatics, Obernai, France.
Apr 30, 2010. Including prior knowledge in shrinkage estimators for genomic data. Systems and Modeling Seminar, University of Liege, Liege, Belgium.
Mar 25, 2010. Machine learning for ligand-based virtual screening and chemogenomics. In silico discovery of molecular probes and drug-like compounds: Success & Challenges INSERM workshop, Saint-Raphael, France.
Dec 11, 2009. Designing and combining kernels: some lessons learned from bioinformatics. Understanding multiple kernel learning methods workshop, NIPS'09, Whistler, Canada.
Nov 27, 2009. Collaborative filtering in Hilbert spaces with spectral regularization. Center for Statistics, Goettingen University, Goettingen, Germany.
Nov 24, 2009. Some contributions of machine learning in bioinformatics. Department of Computer Science, Ecole normale supérieure, Paris, France.
Nov 23, 2009. Collaborative filtering in Hilbert spaces with spectral regularization. Statistics seminar, Paris 6-7 Universities, Paris, France.
Nov 16, 2009. Machine learning in bioinformatics and drug discovery. Workshop on Bioinformatics for Medical and Pharmaceutical Research, Institut Curie, Paris, France.
Oct 23, 2009. Collaborative filtering in Hilbert spaces with spectral regularization. Journees STAR, IRISA, Rennes, France.
Oct 13, 2009. Machine learning in bioinformatics and drug discovery. Biology of cellular systems graduate course, Ecole normale supérieure, Paris, France.
Oct 01, 2009. Supervised classification for structured data: applications in bio- and chemo-informatics. The third school on Analysis of Patterns, Cagliari, Italy.
Aug 07, 2009. Kernel methods for virtual screening and in silico chemogenomics. Computational Biology Research Center, Tokyo, Japan.
Aug 05, 2009. Including prior knowledge in shrinkage estimators for genomic data. The Institute of Statistical Mathematics, Tokyo, Japan.
Aug 04, 2009. Inferring and using biological networks. Human Genome Center, Institute of Medical Science, Tokyo University, Tokyo, Japan.
Jul 14, 2009. Global alignment of protein-protein interaction networks by graph matching methods. Department of Informatics, Kyushu University, Fukuoka, Japan.
Jul 06, 2009. Global alignment of protein-protein interaction networks by graph matching methods. Bioinformatics Center, Kyoto University, Kyoto, Japan.
Jun 12, 2009. Inferring and using biological networks. 6th international workshop on computational systems biology (WCSB'09), Aarhus, Denmark.
Jun 05, 2009. Inference of biological networks. Advances in the Theory of Control, Signals, and Systems, with Physical Modeling workshop, Bernoulli center, EPFL, Lausanne, Switzerland.
Jun 01, 2009. Supervised classification for structured data: applications in bio- and chemoinformatics. The analysis of patterns summer school, Cagliari, Italy.
May 04, 2009. Including prior knowledge in shrinkage estimators for genomic data. Statistical advances in Genome-scale Data Analysis workshop, Ascona, Switzerland.
Apr 24, 2009. In silico virtual screening for drug discovery. Mathematics and industry workshop, IHES, Bures-sur-Yvette, France.
Apr 02, 2009. Kernel design and learning. Symposium on Learning and Data Science (SLDS'09), University Paris Dauphine, Paris, France.
Mar 20, 2009. Inference of missing edges in biological networks. MAP5 colloquium, University of Paris Descartes, Paris, France.
Mar 10, 2009. Some contributions of machine learning to bioinformatics. Mathematics, evolution and genome seminar, University of Provence, Marseille, France.
Feb 23, 2009. In silico chemogenomics with support vector machines. MedChem'09 Europe conference, Berlin, Germany.
Feb 12, 2009. Machine learning for cancer informatics. Scientific and Medical Days, Institut Curie, Paris, France.
Feb 10, 2009. Some contributions of machine learning to bioinformatics. Centre for applied mathematics, Ecole Polytechnique, Palaiseau, France.
Jan 21, 2009. Analyzing the transcriptional response of P. falciparum to drugs and stress. Bioinformatics of plasmodium falciparum workshop, Paris, France.
Nov 27, 2008. Machine learning in postgenomics. Atelier statistique de la SFDS, Paris, France.
Nov 13, 2008. Inference of missing edges in biological networks. Bristol University, Bristol, UK.
Nov 04, 2008. Infering and using biological networks. Research Centre, Centre hospitalier de l'Université Laval (CHUL), Quebec, Canada.
Nov 03, 2008. Some contributions of machine learning to bioinformatics. Laboratoire d'informatique, University of Laval, Quebec, Canada.
Oct 23, 2008. Inference of missing edges in biological networks. Telecom ParisTech, Paris, France.
Aug 29, 2008. Inference of missing edges in biological networks. Statistics and modelling of networks workshop, Rennes, France.
Jul 28, 2008. Inference of biological networks with supervised machine learning. Institute of Statistical Mathematics, Tokyo, Japan.
Jul 07, 2008. Inference of biological networks with supervised machine learning. Bioinformatics Center, Kyoto University, Kyoto, Japan.
Jun 27, 2008. A path following approach for graph matching. National Institute of Informatics, Tokyo, Japan.
Jun 03, 2008. Collaborative filtering in Hilbert spaces with spectral regularization. Second Canada-France congress of mathematics, Montreal, Canada.
May 23, 2008. Collaborative filtering with attributes. Machine learning seminar, Xerox Research Centre Europe, Grenoble, France.
May 20, 2008. Inference of biological networks with supervised machine learning. U900 seminar, Institut Curie, Paris, France.
May 16, 2008. Inference of biological networks with supervised machine learning. Statistical modelling and analysis of biological network INSERM workshop (atelier 184), Saint-Raphael, France.
Apr 16, 2008. How to infer gene networks from gene expression data?. The Third Conference on Systems Biology, University Paris Descartes, Paris, France.
Apr 09, 2008. Machine learning in computational biology. Informatics for Biology course, Institut Pasteur, Paris, France.
Apr 01, 2008. Collaborative filtering with attributes. The learning workshop, Snowbird, USA.
Mar 28, 2008. Some contributions of machine learning to bioinformatics. cBio seminar, Memorial Sloan Kettering Cancer Center, New York, USA.
Feb 12, 2008. Statistical learning on graphs. Seminar of Probability, Institut Joseph Fourier, Grenoble, France.
Jan 23, 2008. Kernel methods for QSAR and virtual screening. 10th European Symposium on Statistical Methods for the Food Industry (AGROSTAT'08), Louvain-la-Neuve, Belgium.
Nov 19, 2007. The context tree weighting kernel. Context tree models workshop, Telecom Paris, Paris, France.
Oct 19, 2007. Virtual screening with support vector machines. Multimodal Project Meeting, National Institute of Informatics, Tokyo, Japan.
Oct 17, 2007. QSAR and virtual screening with support vector machines. Tokyo Institute of Technology, Tokyo, Japan.
Oct 12, 2007. Collaborative filtering with attributes. The 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan.
Oct 05, 2007. Statistical learning with graph kernels. The International Workshop on Data Mining and Statistical Science (DMSS'07), Tokyo, Japan.
Sep 28, 2007. Kernels for strings and applications in bioinformatics. Institute of Mathematicsl Statistics open forum, Tokyo, Japan.
Sep 24, 2007. Supervised inference of biological networks. Machine Learning in Systems Biology Conference (MLSB'07), Evry, France.
Sep 07, 2007. QSAR and virtual screening with support vector machines. VI Colloquium Chemiometricum Mediterraneum, Saint-Maximin, France.
Jul 11, 2007. Supervised reconstruction of biological networks. JOBIM'07 conference, Marseille, France.
Jun 13, 2007. Graph kernels and applications in chemoinformatics. 6th IAPR -TC-15 Workshop on Graph-based Representations in Pattern Recognition (GbR 2007), Alicante, Spain.
Jun 08, 2007. A kernel for time series. Signal, pattern recognition and kernel methods workshop, Telecom Paris, Paris, France.
May 29, 2007. Kernel matrix regression. The 12th International Conference on Applied Stochastic Models and Data Analysis (ASMDA'07), Chania, Greece.
May 16, 2007. Regularization of kernel methods by decreasing the bandwidth of the Gaussian kernel. Seminar statistics and probability, University of Lille, Lille, France.
May 10, 2007. Classification of gene expression data using gene networks. Systems Biology seminar, Institut Pasteur, Paris, France.
Apr 25, 2007. Classification of gene expression data using gene networks. Second Systems Biology workshop, Paris 5 University, Paris, France.
Apr 11, 2007. Statistical learning with graphs. Journées de statistiques du sud, University of Nice, Nice, France.
Apr 10, 2007. Classification of gene expression data using gene networks. Statistics and Genome workshop, University of Nice, Nice, France.
Feb 14, 2007. Supervised inference of biological networks. Institute for Infocomm Research, Singapore.
Feb 08, 2007. Kernels methods for strings and graphs. Bioinformatics Center, Kyoto University, Kyoto, Japan.
Feb 02, 2007. Supervised inference of biological networks from heterogeneous genomic data. ENFIN NoE Meeting, Genoscope, Evry, France.
Jan 26, 2007. Statistical learning on graphs and groups. International conference on Embeddings of Graphs and Groups into Hilbert and Banach spaces with applications, EPFL, Lausanne, Switzerland.
Jan 11, 2007. Motif finding in promoter region with support vector machines. Journée thématique Promoteurs, Ouest Génopole, IRIS, Rennes, France.
Dec 09, 2006. Metric learning pairwise kernel for graph inference with SVM. Open problems in computational biology workshop, NIPS'06, Whistler, Canada.
Dec 01, 2006. QSAR and virtual screening with support vector machines. Chimiometrie'06 conference, Paris, France.
Nov 27, 2006. Kernels and kernel methods for biological sequences. Current Challenges in Kernel Methods workshop (CCKM'06), Brussel, Belgium.
Sep 21, 2006. Classification of biological sequences with kernels. International Conference on Grammatical Inference (ICGI 2006), Tokyo, Japan.
Jul 28, 2006. Regularization of kernel methods by decreasing the bandwidth of the Gaussian kernel. Machine Learning Summer School (MLSS 2006), Taipei, Taiwan.
Jul 27, 2006. Kernel methods in bioinformatics. Machine Learning Summer School (MLSS 2006), Taipei, Taiwan.
Jul 05, 2006. Spectral approaches to integrate gene expression and gene networks. ESBIC meeting, Institut Curie, Paris, France.
Jun 02, 2006. Regularization of kernel methods by decreasing the bandwith of the Gaussian kernel. Mathematical foundations of learning theory conference, Ecole normale supérieure, Paris, France.
May 22, 2006. Virtual screening with support vector machines. Seminar at the Pierre Fabre Institute of Drug Sciences and Technologies, Toulouse, France.
May 19, 2006. Analysis of microarray data with pathway information. Seminar of the Centre d'Ecologie Cellulaire, Faculté de médecine Pitié-Salptrière, Paris, France.
May 18, 2006. Classification of biological sequences with kernel methods. CMLA workshop, Ecole Normale Superieure de Cachan, Cachan, France.
May 10, 2006. Machine learning approaches for reconstruction of genetic networks. Workshop on Knowledge Discovery and Emergent Complexity in Bioinformatics (KBECB 2006), Ghent, Belgium..
Dec 14, 2005. Supervised gene network inference. Bioinformatics: algorithms, structures and statistics workshop, Ecole Polytechnique, Palaiseau, France.
Dec 10, 2005. Kernels for biological sequences. Kernel methods and structured domain workshop, NIPS'05, Whistler, Canada.
Nov 18, 2005. Supervised gene network inference. Reverse modeling of biological regulatory networks: expectation and limitations workshop, Evry, France.
Nov 14, 2005. Supervised gene network inference. Seminar of applied statistics, University of Montpellier, Montpellier, France.
Oct 21, 2005. Motif finding in promoter region with support vector machines. Bioinformatics Center Seminar, Kyoto University, Kyoto, Japan.
Oct 18, 2005. Support vector machines and kernel methods in bioinformatics. Bioinformatics Center Lecture, Kyoto University, Kyoto, Japan.
Aug 18, 2005. Supervised gene network inference. Institute for Genomics and Bioinformatics seminar, UC Irvine, Irvine, USA.
Jul 05, 2005. Analyse du transcriptome. JOBIM'05 conference, Lyon, France.
Jun 06, 2005. Supervised gene network inference. Journees de Statistiques de ls SFdS, Pau, France.
Mar 17, 2005. Voyage au coeur du génome. Science for all seminar, Ecole des Mines de Paris, Fontainebleau, France.
Mar 08, 2005. Supervised network inference. ICPB seminar, Mathematics Institute, University of Warwick, Warwick, UK.
Feb 08, 2005. Supervised network inference. 50th NIBB conference on Structure and Dynamics of Complex Biological Networks, Okazaki, Japan.
Jan 17, 2005. Supervised graph inference. Séminaire parisien de statistiques, Institut Henri Poincaré, Paris, France.
Dec 21, 2004. Kernel methods in computational and systems biology. Symposium on perspectives in computational and theoretical biology, Shanghai, P.R. China.
Dec 15, 2004. Supervised graph inference. NIPS'04 conference, Vancouver, Canada.
Dec 10, 2004. Kernel methods in computational biology. Habilitation à Diriger les Recherches defense, Ecole des Mines de Paris, Paris, France.
Dec 06, 2004. Analysis and inference of gene networks from genomic data. Bioinformatics seminar, INRA, Jouy-en-Josas, France.
Nov 15, 2004. Analysis and inference of gene networks from genomic data. Bioinformatics Center, Kyoto University, Kyoto, Japan.
Nov 05, 2004. Analysis and inference of gene networks from genomic data. Statistics seminar, Institute of Statistical Mathematics, Tokyo, Japan.
Oct 08, 2004. Analysis and inference of gene networks from genomic data. Complex stochastic systems in biology and medicine workshop, Ludwig-Maximilians University, Munich, Germany.
Sep 16, 2004. Analysis and inference of metabolic networks. EBI Industry Program Meeting, European Bioinformatics Institute, Cambridge, UK.
Sep 09, 2004. Un noyau d'alignement local pour la classification de séquences biologiques. 11èmes Rencontres de la Société Francophone de Classification, Bordeaux, France.
Jul 30, 2004. Analysis and inference of gene networks from genomic data. SIG Bioinformatics and Statistical Physics, Glasgow, UK.
May 21, 2004. Metabolic networks: activity detection and inference. Advanced microarray data analysis course, Center for Biological Sequence Analysis, Elsinore, Denmark.
May 06, 2004. Metabolic networks: activity detection and inference. Gene regulatory network workshop, INRIA, Grenoble, France.
Apr 14, 2004. Network inference and inference on networks. Department of Genome Sciences, University of Washington, Seattle, USA.
Apr 06, 2004. Kernel Methods in Computational Biology. The learning workshop, Snowbird, USA.
Feb 18, 2004. Extracting pathway activity from gene expression data. Saminar at the Max Planck Institut für Informatik, Saarbrücken, Germany.
Feb 06, 2004. Inference on graphs with support vector machines. Marketing seminar, INSEAD, Fontainebleau, France.
Feb 05, 2004. Extracting metabolic pathway activity from microarray data. Functional genomics seminar, CEA, Evry, France.
Jan 30, 2004. SVMs, kernel methods, and applications in bioinformatics. MODBIO seminar, LORIA, Nancy, France.
Jan 26, 2004. SVMs, kernel methods, and applications in bioinformatics. Geometrica seminar, INRIA, Nice, France.
Jan 23, 2004. Inférence sur graphes et groupes. Spatial statistics seminar, INAPG, Paris, France.
Jan 19, 2004. SVMs, kernel methods, and applications in bioinformatics. Statistics seminar, Paris 6 University, Paris, France.
Nov 25, 2003. Statistical learning theory, SVMs, and Bioinformatics. Department of Computer science, Ecole normale supérieure, Paris, France.
Nov 21, 2003. SVM, kernel methods and applications in bioinformatics. Bioinformatics seminar, Ghent University, Ghent, Belgium.
Oct 27, 2003. SVM, kernel methods and applications in bioinformatics. Bioinformatics Center, Kyoto University, Kyoto, japan.
Oct 17, 2003. SVM, kernel methods, and applications in bioinformatics. Machine Learning in Bioinformatics conference, Bruxelles, Belgium.
Oct 16, 2003. Support vector machines in bioinformatics: three examples. Machine Learning in Bioinformatics industrial workshop, Bruxelles, Belgium.
Sep 27, 2003. Extracting metabolic pathway activity from microarray data. European Conference on Computational Biology (ECCB 2003), Paris, France..
Sep 19, 2003. Krigeage sur graphes et groupes. Journées de Géostatistiques, Ecole des Mines de Paris, Fontainebleau, France..
Sep 09, 2003. Extracting metabolic pathways activity from microarray data. Bioinformatics seminar, Institut Curie, Paris, France..
Jun 27, 2003. Kernel methods in computational biology. Le Mirail Toulouse University, Toulouse, France..
Jun 20, 2003. Kernel methods in computational biology: two examples. Molecular Physiology of lower Eukaryots group seminar, INSA Toulouse, Toulouse, France..
Jun 19, 2003. Support vector machines and applications in bioinformatics.. Centre de bio-informatique, Sanofi, Toulouse, France..
Jun 16, 2003. Kernel methods in computational biology: tree examples. Center for applied mathematics, Ecole Polytechnique, Palaiseau, France..
Jun 05, 2003. Kernels for phylogenetic trees. Geometric models of biological phenomena workshop, American Institute of Mathematics, Palo Alto, CA, USA..
May 09, 2003. Kernel methods in computational biology: Three examples. Computer science division, UC Berkeley , Berkeley, CA, USA..
May 06, 2003. Probabilistic kernels for structured objects. Department of statistics, UC Davis, Davis, CA, USA..
Apr 24, 2003. Kernel methods in computational biology. INRIA, Roquencourt, France..
Apr 04, 2003. Kernel methods and applications in computational biology. SABRES statistics seminar, University Bretagne South, Vannes, France..
Mar 31, 2003. Monitoring the activity of metabolic pathways with DNA chips. Statistical analysis of DNA microarray data workshop, Toulouse, France..
Jan 24, 2003. DNA microarrays and Kernel methods in computational biology. Mathematical aspects of molecular biology : Towards new constructions workshop, Nara, Japan.
Jan 15, 2003. Probabilistic kernels for structured objects. Statistical Learning in Classification and Model Selection workshop, EURANDOM, Eindhoven, The Netherlands.
Jan 14, 2003. Methodes a noyau en bio-informatique. Statistics and genome seminar, Evry University and INRA, Jouy-en-Josas, France.
Jan 10, 2003. Probabilistic kernels. Computer Science Departments, Paris South University, Orsay, France.
Dec 10, 2002. Graph-driven features extraction from microarray data using diffusion kernels and kernel CCA. NIPS'02 conference, Vancouver, Canada.
Dec 05, 2002. Méthodes à noyau en bioinformatique. INRIA Rhône-Alpes, Grenoble, France.
Nov 14, 2002. Extracting active metabolic pathways from gene expression data using kernel CCA. Statistical learning, theorey and application conferences at CNAM, Paris, France.
Nov 05, 2002. Méthodes à noyau en bioinformatique. INSA Toulouse, Toulouse, France.
Aug 07, 2002. A tree kernel to analyse phylogenetic profiles. 10th International Conference on Intelligent Systems for Molecular Biology (ISMB '02), Edmonto, Canada.
Aug 02, 2002. Extracting correlations between pathways and microarray data. 4th BioPathways Consortium Meeting, Edmonton, Canada.
Jul 17, 2002. SVM, kernel methods and bioinformatics (3 days). Human genome center, University of Tokyo, Tokyo, Japan.
Jul 12, 2002. Data mining the proteome in Reproducible Kernel Hilbert Spaces. Research Institute for Mathematical Science seminar, Kyoto University, Kyoto,Japan.
Jun 28, 2002. Support vector machines and applications in bioinformatics. Graduate school of mathematics seminar, Kyushu University, Fukuoka, Japan.
Apr 22, 2002. Kernel methods in bioinformatics. Bioinformatics center colloquim, Kyoto University, Kyoto, Japan.
Mar 08, 2002. SVMs in bioinformatics. Genetic knowledge science lab seminar, JAIST, Kanazawa, Japan.
Feb 02, 2002. SVMs in bioinformatics. Mathematical modeling and statistical analysis in biomedical research Symposium, Hiroshima university, Hiroshima, Japan.
Jan 07, 2002. SVM prediction of signal peptide cleavage site using a new class of kernels for strings. Pacific Symposium on Biocomputing (PSB'02), Lihue, Hawaii, USA.
Nov 21, 2001. Kernels for discrete objetcs. Computational Biology Research Center, Tokyo, Japan.
Nov 20, 2001. Mathematics and post-genomics. Science and Technology workshop 2001, French embassy in Tokyo, Tokyo, Japan.
May 21, 2001. Statistical sequence modelling. Bioinformatics Center colloquim, Kyoto University, Kyoto, Japan.
Mar 29, 2001. Statistical methods for language modelling (PhD defense). Department of Mathematics, Ecole normale supérieure, Paris, France.
Mar 01, 2001. Generalization error bounds for aggregated classifiers. Department of Mathematics, Paris South University, Orsay, France.
Feb 22, 2001. Text categorization using adaptive context trees. Second International Conference on Intelligent Text Processing and Computational Linguistics (CICLing '01), Mexico City, Mexico.
Nov 02, 2000. Adaptive context trees and text categorization. Mathematical foundations fo natural Language modeling IMA workshop, University of Minnesota, Minneapolis, USA.
Aug 30, 2000. Universal prediction with double mixture estimators. Garchy Seminar on Mathematical Statistics and Applications, Garchy, France.
Mar 14, 2000. Adaptive context trees for string modelling. Statistics and genome seminar, Evry university, Evry, France.
Dec 13, 1999. Oracle inequalities for adaptive context trees. Statistics seminar, Ecole normale supérieure, Paris, France.