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hal-01809550v2  Conference papers
Arthur MenschMathieu 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 YangBenoit GellerCedric HerzetJean-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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hal-01133725v2  Journal articles
Pierre CastelliStéphane 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 GuelmameStéphane JuncaDidier 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 CastelliStéphane 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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hal-01118542v1  Journal articles
Hicham BadriHussein YahiaDriss 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-02880553v1  Conference papers
Frédéric PennerathPanagiotis MandrosJilles 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 PlumejeaudJean-Marc VincentClaude GraslandJérôme GenselHélène 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 DaouiaLaurent GardesStéphane 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 MethniStéphane GirardLaurent 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 JibaiCyril SolerKartic SubrNicolas 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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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-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⟩
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-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