Mar 15
We are glad to announce that the paper “Self-supervised learning with rotation-invariant kernels” (Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval) has been accepted at the 11th Interanational Conference on Representation Learning (Kigali, May 2023). This project is a collaboration betwen OCKHAM team and valeo.ai.
Oct 27
We are glad to announce that the following paper with contributions from the Dante team have been accepted for publication in the Transaction of Machine Learning Research (TMLR) journal: Time Series Alignment with Global Invariances. Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
Oct 26
We are glad to announce that the following papers with contributions from the Dante team have been accepted for publication at the NeurIPS 2022 conference: – Template based Graph Neural Network with Optimal Transport Distances, C. Vincent-Cuaz, R. Flamary, M. Corneli, T. Vayer & N. Courty. – Benchopt: Reproducible, efficient and collaborative optimization benchmarks, T. Moreau, …
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 …
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