Projects

DANTE is regularly involved in a number of collaborative projects with academic and/or industrial partners.

Current and recent projects are briefly described here (NB: use the drop-down menu to access the list of projects).

Allegro Assai – deep sparsity & sketched learning

Dates : 2020 – 2025      Identifier: ANR-19-CHIA-0009 Project Summary          Project Publications Algorithms, Approximations, Sparsity and Sketching for AI AllegroAssai focuses on the design of machine learning techniques endowed both with statistical guarantees (to ensure their performance, fairness, privacy, etc.) and provable resource-efficiency (e.g. in terms of bytes and flops, which impact …

ANR Darling

Dates : February 2020 – January 2024  – Identifier: ANR-19-CE48-0002 This project meets the compelling demand of developing a unified framework for distributed knowledge extraction and learning from graph data streaming using in-network adaptive processing, and adjoining powerful recent mathematical tools to analyze and improve performances. The project draws on three major parallel directions of …

ANR DataRedux

Dates : February 2020 – January 2024  Identifier: ANR-19-CE46-0008 ​Big data reduction for ​predictive computational modelling DataRedux puts forward an innovative framework to reduce networked data complexity while preserving its richness, by working at intermediate scales (“mesoscales”). Our objective is to reach a fundamental breakthrough in the theoretical understanding and representation of rich and complex …

GDR ISIS project MOMIGS

Funded by GDR ISIS Dates : September 2021 – September 2023 This project focuses on large scale optimization problems in signal processing and imaging. A natural way to tackle them is to exploit their underlying structure, and to represent them at different resolution levels. The use of multiresolution schemes, such as wavelets transforms, is not …

Labex CominLabs LeanAI

Funded by Labex CominLabs Dates : October 2021 – December 2024 The LeanAI project aims at developing a comprehensive and flexible framework for mixed-precision optimization. The project is motivated by the increasing demand for intelligent edge devices capable of on-site learning, driven by the recent developments in deep learning. The realization of such systems is …

Labex MiLyon Emerging Topics project

Funded by Labex MiLyon Dates : September 2021 – September 2023 Collaboration with Eric Van Reeth (Creatis, Lyon) Magnetic Resonance Imaging (MRI) is an extremely important anatomical and functional imaging technique, widely used by physicists to establish medical diagnosis. Acquiring high resolution volumes is desirable in many clinical and pre-clinical applications to accurately adapt the …

SHARP – Foundations of Frugal AI

Dates : 2023 – 2027      Identifier: ANR-23-PEIA-0008 Sharp Theoretical and Algorithmic Principles for Frugal ML SHARP will address the major challenge of designing, analyzing and deploying a new generation of intrinsically frugal models (neural or not) able to achieve the versatility and performance of today’s best models while requiring only a vanishing fraction of …