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 …
Feb 15
Sorry, this entry is only available in French.
Sep 22
We will receive Thomas Debarre on Thursday 23th September for a seminar. Title : Total-Variation-Based Optimization: Theory and Algorithms for Minimal Sparsity Abstract : The total-variation (TV) norm for measures as a regularizer for continuous-domain inverse problems has been the subject of many recent works, both on the theoretical and algorithmic sides. Its sparsity-promoting effect is now well …
Jun 29
We will receive Alexandre ARAUJO on Thursday 1st July for a seminar Title: Building Compact and Robust Deep Neural Networks with Toeplitz Matrices Abstract: Deep neural networks are state-of-the-art in a wide variety of tasks, however, they exhibit important limitations which hinder their use and deployment in real-world applications. When developing and training neural networks, the accuracy should not be …
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 …
Oct 03
Since 2014, the Complex System Society gives the Junior Scientific Award to young members of the society (within ten years of completing their PhD) to recognise their extraordinary scientific achievements within the field of complex systems/ For the year 2018, the Junior Scientific Award was given to Márton Karsai “for his many outstanding contributions to the science of …
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