Category: Headlines

2 papers and one blog post accepted at ICLR 2025!

The team is happy to announce two accepted works at ICLR 2025:– Can Pouliquen, Mathurin Massias, Titouan Vayer: Schur’s Positive-Definite Network: Deep Learning in the SPD cone with structure, https://arxiv.org/abs/2406.09023– Ségolène Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl: PnP-Flow: Plug-and-Play Image Restoration with Flow Matching, https://arxiv.org/abs/2410.02423 In addition, the blog post on Flow Matching models …

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Prix Loréal-UNESCO 2024 for Sibylle Marcotte

Sibylle Marcotte, doctorante à l’ENS Ulm et membre de l’équipe Ockham, parmi les lauréates du 18e Prix Jeunes Talents France L’Oréal-UNESCO Pour Les Femmes et la Science

Best poster prize for Anne Gagneux @SMAI MODE

Anne Gagneux, PhD student in the team, won the best poster award at the SMAI MODE days 2024, for her M2 internship on “Automatic and unbiased coefficients clustering with non-convex SLOPE”. The poster is available here. Congratulations Anne!

One paper accepted at SIAM Journal on Imaging Sciences

The paper IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration, by Guillaume Lauga, Elisa Riccietti, Nelly Pustelnik and Paulo Gonçalves, was accepted for publication at SIAM Journal on Imaging Sciences! This work presents a multilevel framework for inertial and inexact proximal algorithms, that encompasses multilevel versions of classical algorithms …

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Paper accepted at ICLR 2023

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.

One paper accepted at Transaction of Machine Learning Research

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

Three papers accepted at NeurIPS 2022

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, …

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Paper accepted for publication in SIMODS

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 …

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Poste permanent Inria : Ingénieur(e) développement logiciel spécialiste en calcul scientifique pour l’apprentissage et le traitement du signal

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, …

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Rémi Vaudaine. Contextual anomalies in graphs, detection and explanation

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 …

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