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hal-01809550v2  Conference papers
Arthur Mensch, Mathieu Blondel. Differentiable Dynamic Programming for Structured Prediction and Attention
35th International Conference on Machine Learning, Jul 2018, Stockholm, Sweden
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hal-01224236v1  Conference papers
Jianxiao Yang, Benoit Geller, Cedric Herzet, Jean-Marc Brossier. Smoothing PLLs for QAM Dynamical Phase Estimation
IEEE International Conference on Communications (ICC 2009), Jun 2009, Dresden, Germany. pp.100, ⟨10.1109/ICC.2009.5199465⟩
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tel-00766366v1  Theses
Cyril Joly. Contributions aux méthodes de localisation et cartographie simultanées par vision omnidirectionnelle
Robotique [cs.RO]. Mines ParisTech, 2010. Français
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hal-01133725v2  Journal articles
Pierre Castelli, Stéphane Junca. Smoothing effect in $BV_\Phi$ for entropy solutions of scalar conservation laws
Journal of Mathematical Analysis and Applications, Elsevier, 2017, 451, pp.712-735. ⟨10.1016/j.jmaa.2017.02.026⟩
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hal-00576662v3  Journal articles
Stéphane Junca. High frequency waves and the maximal smoothing effect for nonlinear scalar conservation laws
SIAM Journal on Mathematical Analysis, Society for Industrial and Applied Mathematics, 2014, 46 (3), pp.2160-2184. ⟨10.1137/120880367⟩
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hal-01943834v1  Journal articles
Billel Guelmame, Stéphane Junca, Didier Clamond. Regularizing effect for conservation laws with a Lipschitz convex flux
Communications in Mathematical Sciences, International Press, 2019, 17 (8), pp.2223-2238. ⟨10.4310/CMS.2019.v17.n8.a6⟩
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hal-01290871v1  Journal articles
Pierre Castelli, Stéphane Junca. On the maximal smoothing effect for multidimensional scalar conservation laws
Nonlinear Analysis: Theory, Methods and Applications, Elsevier, 2017, 155, pp.207-218. ⟨10.1016/j.na.2017.01.018⟩
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tel-02401628v2  Theses
Mathurin Massias. Sparse high dimensional regression in the presence of colored heteroscedastic noise: application to M/EEG source imaging
Machine Learning [stat.ML]. Telecom Paristech, 2019. English
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hal-01118542v1  Journal articles
Hicham Badri, Hussein Yahia, Driss Aboutajdine. Fast Edge-Aware Processing via First Order Proximal Approximation
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2015, PP (99), pp.14. ⟨10.1109/TVCG.2015.2396064⟩
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hal-01444595v1  Conference papers
Andrea Mendizabal, Rémi Duparc, Huu Phuoc Bui, Christoph Paulus, Igor Peterlik et al.  Face-based Smoothed Finite Element Method for Real-time Simulation of soft tissue
SPIE Medical Imaging, Feb 2017, Orlando, United States
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hal-02880553v1  Conference papers
Frédéric Pennerath, Panagiotis Mandros, Jilles Vreeken. Discovering Approximate Functional Dependencies using Smoothed Mutual Information
KDD 2020 - 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2020, San Diego / Virtual, United States. pp.1254 -- 1264
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tel-01572186v2  Theses
Federico Pierucci. Nonsmooth optimization for statistical learning with structured matrix regularization
Data Structures and Algorithms [cs.DS]. Université Grenoble Alpes, 2017. English. ⟨NNT : 2017GREAM024⟩
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hal-00214274v1  Conference papers
Christine Plumejeaud, Jean-Marc Vincent, Claude Grasland, Jérôme Gensel, Hélène Mathian et al.  HyperSmooth : calcul et visualisation de cartes de potentiel interactives.
SAGEO 2007, Rencontres internationales Géomatique et territoire, Jun 2007, France. pp.978-2-85710-078-2
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hal-00630726v3  Journal articles
Abdelaati Daouia, Laurent Gardes, Stéphane Girard. On kernel smoothing for extremal quantile regression
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2013, 19 (5B), pp.2557-2589. ⟨10.3150/12-BEJ466⟩
hal-01062363v1  Conference papers
Jonathan El Methni, Stéphane Girard, Laurent Gardes. Kernel estimation of extreme risk measures for all domains of attraction
COMPSTAT 2014 - 21st International Conference on Computational Statistics, Aug 2014, Geneva, Switzerland. pp.CDROM
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inria-00611915v1  Conference papers
Nassim Jibai, Cyril Soler, Kartic Subr, Nicolas Holzschuch. Multiscale Feature-Preserving Smoothing of Tomographic Data
ACM SIGGRAPH 2011 Posters, ACM, Aug 2011, Vancouver, Canada. pp.Article No. 63, ⟨10.1145/2037715.2037786⟩
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tel-00748064v2  Theses
Nassim Jibai. Lissage multi-echelle sur GPU des images et volumes avec preservation des details
Mathématiques générales [math.GM]. Université de Grenoble, 2012. Français. ⟨NNT : 2012GRENM025⟩
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hal-01203324v1  Journal articles
Julyan Arbel, Stefano Favaro, Bernardo Nipoti, Yee Whye Teh. Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics
Statistica Sinica, Taipei : Institute of Statistical Science, Academia Sinica, 2017, 27, pp.839-858. ⟨10.5705/ss.202015.0250⟩
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tel-01838480v1  Theses
Kersane Zoubert-Ousseni. Algorithmes de géolocalisation à l’intérieur d’un bâtiment en temps différé
Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2018. Français. ⟨NNT : 2018REN1S015⟩
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hal-02794320v1  Preprints, Working Papers, ...
Malo Huard, Rémy Garnier, Gilles Stoltz. Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method
2020
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hal-02342600v1  Reports
Brian Anderson, Adrian Bishop, Pierre del Moral, Camille Palmier. Backward Nonlinear Smoothing Diffusions
[Research Report] ANU; UTS; INRIA; IMB. 2019
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hal-00830074v1  Journal articles
Yann Guédon. Hidden hybrid Markov/semi-Markov chains.
Computational Statistics and Data Analysis, Elsevier, 2005, 49 (3), pp.663-688. ⟨10.1016/j.csda.2004.05.033⟩
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inria-00311634v1  Reports
Yann Guédon. Exploring the segmentation space for the assessment of multiple change-point models
[Research Report] RR-6619, INRIA. 2008, pp.37
hal-01117013v1  Journal articles
Yann Guédon. Segmentation uncertainty in multiple change-point models
Statistics and Computing, Springer Verlag (Germany), 2015, 25 (2), pp.303 - 320. ⟨10.1007/s11222-013-9433-1⟩
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hal-01286298v1  Preprints, Working Papers, ...
Pierre Fernique, Jonathan Legrand, Jean-Baptiste Durand, Yann Guédon. Semi-parametric Markov Tree for cell lineage analysis
2016
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hal-00828844v1  Conference papers
Yann Guédon. Incertitude sur la segmentation pour les modèles de détection de ruptures multiples
44èmes Journées de Statistique, Bruxelles, Université Libre de Bruxelles [Bruxelles] (ULB). Bruxelles, BEL., 2012, Bruxelles, Belgique
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inria-00474383v2  Reports
Emmanuel Vincent. An experimental evaluation of Wiener filter smoothing techniques applied to under-determined audio source separation
[Research Report] RR-7261, 2010