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	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 25 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM
hal-00978643v1 Communication dans un congrès Anoop Cherian, Julien Mairal, Karteek Alahari, Cordelia Schmid. Mixing Body-Part Sequences for Human Pose Estimation CVPR 2014 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2014, Columbus, OH, United States. IEEE, pp. 2361-2368, 2014, <10.1109/CVPR.2014.302>
hal-01387416v1 Communication dans un congrès Andreas Tillmann, Yonina Eldar, Julien Mairal. Dictionary learning from phaseless measurements IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Mar 2016, Shanghai, China. IEEE, pp.4702-4706, 2016, <10.1109/ICASSP.2016.7472569>
hal-01387399v1 Communication dans un congrès Julien Mairal. End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Advances in Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, France
hal-00904820v1 Communication dans un congrès Anil Nelakanti, Cédric Archambeau, Julien Mairal, Francis Bach, Guillaume Bouchard. Structured Penalties for Log-linear Language Models EMNLP - Empirical Methods in Natural Language Processing - 2013, Oct 2013, Seattle, United States. Association for Computational Linguistics, pp.233-243, 2013, <http://aclweb.org/anthology//D/D13/D13-1024.pdf>
hal-00996849v1 Communication dans un congrès Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui et al. On learning to localize objects with minimal supervision Tony Jebara; Eric P. Xing. ICML - 31st International Conference on Machine Learning, Jun 2014, Beijing, China. JMLR, 32, pp.1611-1619, 2014, JMLR Workshop and Conference Proceedings
hal-01375816v5 Pré-publication, Document de travail Alberto Bietti, Julien Mairal. Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure 2017
hal-01376079v2 Pré-publication, Document de travail Hongzhou Lin, Julien Mairal, Zaid Harchaoui. A Generic Quasi-Newton Algorithm for Faster Gradient-Based Optimization 2017
hal-01536004v1 Pré-publication, Document de travail Alberto Bietti, Julien Mairal. Group Invariance and Stability to Deformations of Deep Convolutional Representations 2017
hal-01536017v1 Pré-publication, Document de travail Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zaid Harchaoui. Catalyst Acceleration for Gradient-Based Non-Convex Optimization 2017
hal-01431618v1 Pré-publication, Document de travail Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Stochastic Subsampling for Factorizing Huge Matrices 2017
hal-01207966v1 Communication dans un congrès Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronnin et al. Local Convolutional Features with Unsupervised Training for Image Retrieval ICCV 2015 - IEEE International Conference on Computer Vision, Dec 2015, Santiago, Chile. IEEE, pp.91-99, <10.1109/ICCV.2015.19>
hal-00835840v2 Communication dans un congrès Julien Mairal. Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger. NIPS 2013 - Advances in Neural Information Processing Systems, Dec 2013, South Lake Tahoe, United States. pp.2283-2291, 2013, Advances in Neural Information Processing Systems 26.		hal-01405058v1 Communication dans un congrès Arthur Mensch, Julien Mairal, Gaël Varoquaux, Bertrand Thirion. Subsampled online matrix factorization with convergence guarantees NIPS Workshop on Optimization for Machine Learning, Dec 2016, Barcelone, Spain. 2016
hal-01308934v2 Communication dans un congrès Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Dictionary Learning for Massive Matrix Factorization International Conference on Machine Learning, Jun 2016, New York, United States. JMLR Workshop and Conference Proceedings, 48, pp.1737-1746, 2016, Proceedings of the 33rd Internation Conference on Machine Learning. <http://jmlr.org/proceedings/papers/v48/mensch16.html>
hal-00822229v1 Communication dans un congrès Julien Mairal. Optimization with First-Order Surrogate Functions ICML 2013 - International Conference on Machine Learning, Jun 2013, Atlanta, United States. 28, pp.783-791, 2013, JMLR Proceedings. <http://jmlr.org/proceedings/papers/v28/mairal13.html>
hal-00995911v1 Communication dans un congrès Yuansi Chen, Julien Mairal, Zaid Harchaoui. Fast and Robust Archetypal Analysis for Representation Learning CVPR 2014 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2014, Columbus, United States. IEEE, pp.1478-1485, 2014, <10.1109/CVPR.2014.192>
hal-01160728v2 Communication dans un congrès Hongzhou Lin, Julien Mairal, Zaid Harchaoui. A Universal Catalyst for First-Order Optimization 28th International Conference on Neural Information Processing Systems, NIPS'15, Dec 2015, Montreal, Canada. MIT Press, pp. 3384-3392
hal-01005489v3 Communication dans un congrès Julien Mairal, Piotr Koniusz, Zaid Harchaoui, Cordelia Schmid. Convolutional Kernel Networks Advances in Neural Information Processing Systems (NIPS), Dec 2014, Montreal, Canada. <http://nips.cc>
hal-01081139v2 Ouvrage (y compris édition critique et traduction) Julien Mairal, Francis Bach, Jean Ponce. Sparse Modeling for Image and Vision Processing now publishers, 8 (2-3), pp.216, 2014, Foundations and Trends in Computer Graphics and Vision, <10.1561/9781680830095>. <http://www.nowpublishers.com/>
hal-01387428v1 Article dans une revue Andreas Tillmann, Yonina Eldar, Julien Mairal. DOLPHIn - Dictionary Learning for Phase Retrieval IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, 64 (24), pp.6485-6500. <http://ieeexplore.ieee.org/document/7563347/>. <10.1109/TSP.2016.2607180>
hal-00806372v2 Article dans une revue Julien Mairal, Bin Yu. Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows Journal of Machine Learning Research, Journal of Machine Learning Research, 2013, 14, pp.2449-2485. <http://jmlr.org/papers/volume14/mairal13a/mairal13a.pdf>
hal-00948338v5 Article dans une revue Julien Mairal. Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2015, 25 (2), pp.829-855. <http://epubs.siam.org/toc/sjope8/25/2>. <10.1137/140957639>
hal-00803134v3 Article dans une revue Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert. Efficient RNA Isoform Identification and Quantification from RNA-Seq Data with Network Flows Bioinformatics, Oxford University Press (OUP), 2014, 30 (17), pp.2447-2455. <10.1093/bioinformatics/btu317>
hal-01277109v2 Article dans une revue Mattis Paulin, Julien Mairal, Matthijs Douze, Zaid Harchaoui, Florent Perronnin et al. Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach International Journal of Computer Vision, Springer Verlag, 2017, 121 (1), pp.149-168. <10.1007/s11263-016-0924-3>
hal-01123141v3 Article dans une revue Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert. A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples BMC Bioinformatics, BioMed Central, 2015, 16 (1), pp.262. <http://www.biomedcentral.com/1471-2105/16/262>. <10.1186/s12859-015-0695-9>
	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 25 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM

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