Oct 10
We are pleased to announce that our work “Efficient Identification of Butterfly Sparse Matrix Factorizations” (Léon Zheng, Elisa Riccietti, Rémi Gribonval) has been accepted for publication in SIAM Journal on Mathematics of Data Science. This work studies identifiability aspects of sparse matrix factorizations with butterfly constraints, a structure associated with fast transforms and used in …
Apr 12
Notre équipe bénéficie cette année d’un poste permanent d’ingénieur(e) Inria. Profil recherché en développement logiciel spécialiste en calcul scientifique pour l’apprentissage et le traitement du signal. La première affectation au sein de notre équipe porte sur une durée de 4 ans renouvelable. La personne recrutée s’intègrera par ailleurs au collectif des ingénieurs permanents de l’institut, …
Jun 21
For the MLSP seminars we will receive Rémi Vaudaine, on Thursday 24th June at 3.30pm, who will talk about anomalies detection in graphs: Title: Contextual anomalies in graphs, detection and explanation Abstract: Graph anomaly detection have proved very useful in a wide range of domains. For instance, for detecting anomalous accounts (e.g. bots, terrorists, opinion spammers or social …
Mar 05
We are glad to announce the creation of a small club of discussion between PhDs and Postdocs in Dante! In our weekly meetings, we discuss in a small group about research, science, and any kind of topics of interests for young researchers. For instance, for our first session on February 23rd 2021, we discussed about “How …
Feb 19
We are pleased to virtually receive Ahmed Boubrima from Rice University, who will talk about « Mission-aware path planning of unmanned aerial vehicles » during the next session of our working group. This session will virtually take place on Friday, March 12 at 3 PM. You can access to this session by the link below : https://zoom.us/j/95077268125?pwd=NWxiSHFLSzZ2R0xXdWhzdWkvVldwdz09 Meeting ID: 950 7726 8125 Passcode: …
Feb 05
Nous recevrons Pedro Rodrigues le Jeudi 25 Février à 10h Title : Leveraging Global Parameters for Flow-based Neural Posterior Estimation Presenter : Pedro L. C. Rodrigues (post-doctorant équipe Parietal, INRIA-Saclay) Inferring the parameters of a stochastic model based on experimental observations is central to the scientific method. A particularly challenging setting is when the model is strongly indeterminate, …
Jan 20
Le Lundi 8 Février à 10h30 nous accueillerons Julien Fageot post-doctorant à McGill University qui nous parlera de reconstruction parcimonieuse dans le domaine continu. Title: TV- based methods for sparse reconstruction in continuous-domain Abstract: We consider the problem of reconstructing an unknown function from some finitely many and possibly corrupted linear measurements. This is achieved by considering an optimization task using a sparsity-promoting regularization. More precisely, we consider …
Jan 13
Clément Lalanne, PhD at Dante and UMPA, will give a series of mini lectures on Differential Privacy.Differential Privacy is a tractable property that aims at protecting the privacy of the individuals composing a dataset. December 9th 2020 at 3:30pm : Introductory lecture on Differential Privacy. On this first lecture we will go through the basic definitions and …
Jan 11
This Thursday 14 Jan at 4.pm we will welcome Mathurin Massias post-doctoral researcher at University of Genova who will present his works on structured inverse problem: Title: Fast resolution resolution of structured inverse problems: extrapolation and iterative regularization Abstract: Overparametrization is common in linear inverse problems, which poses the question of stability and uniqueness of the solution. A remedy is to select a specific solution by …
Feb 11
Friday 11th February, 2018 at 11am. – LIP Meeting room M7 (3rd floor) Our next seminar will be given by Marion Foare, who will present on “Recent advances on solving the Mumford-Shah model for discrete images ” Abstract-“Essential image processing and analysis tasks, such as image segmentation, simplification and denoising, can be conducted in a unified …
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