Thematic Month on “Mathematics for Signals, Images and Structured Data @ CIRM, early 2021

Dear colleagues

it is our pleasure to announce the upcoming one month program on Mathematics for Signals, Images and Structured Data

to be held at CIRM ( Marseille), January 25 -February 26, 2021. The program will consist in a research school on

• Mathematics, signal processing and learning (25 – 29 January 2021) and four conferences on

  • Harmonic analysis, multiscale representations and applications to large-scale data, modeling and numerical simulations (1 – 5 February 2021)
  • Statistical analysis of images and their derived objects (8 – 12 February 2021)
  • Mathematics for Audio and Music Signal Processing (15 – 19 February 2021)
  • (Bio-)medical imaging, neuro-imaging and related signals (22 – 26 February 2021) More information is available on the web site of the program, that will be updated on a regular basis : https://conferences.cirm-math.fr/2331.html If you are interested in receiving updates concerning the program (including updated schedule , call for participation, call for submission, opening of registration,…), please register on the dedicated mailing list cirm2021@listes.math.cnrs.fr, by clicking on “s’abonner”(left menu) on the web site https://listes.math.cnrs.fr/wws/info/cirm2021 We look forward to seeing you in 2021 ! The Signal-Image team at I2M (Institut de Mathématiques de Marseille). Thematic month on Mathematics for Signals, Images and Structured Data CIRM, February 2021 https://conferences.cirm-math.fr/2331.html

Download the annoucement in pdf format

Postdoc offer

The DANTE team at ENS de Lyon, France is seeking highly qualified candidates for a postdoctoral position on the algorithmic and mathematical foundations of resource-efficient machine learning, in the context of the ACADEMICS project (Machine Learning & Data Science for Complex and Dynamical Models) funded by the IDEXLyon.

Sample research topics include (download pdf version of the offer here): Expressivity and Robustness of Sparse Deep Networks; Provable Algorithms for Sparse Deep Learning; Random Sketches for Efficient Manifold & Graph-based Learning.

Starting date and duration: spring 2020, one year – renewable

Location : http://www.ens-lyon.fr/en/

Scientific Contact: Rémi Gribonval (firstname.lastname@inria.fr)

To apply: Applicants are requested to send a detailed CV, a list of publications and a brief statement of research interests. This material, together with two letters of reference, shall be sent to Rémi Gribonval


Talk @ 4TU Meeting on Mathematics of Deepl Learning, Delft, Nov 5

https://www.4tu.nl/ami/en/Agenda-Events/a4-4tu-poster-5-november-2019.pdf

Talk @ GDR ISIS Day “Théorie du deep learning”, Oct 17th 2019, CNAM Paris

link to the program of the day

Panel session @ GRETSI2019 on Signal Processing & AI

Plenary Talk @SampTA 2019, Bordeaux, July 8-12 2019

https://sampta2019.sciencesconf.org/

Talk @ Sparsity4PSL Summer School, Paris, June 27th

https://sparsity4psl.github.io/

Talk @ workshop “Mathematics of Data”, Alan Turing Institute, London, May 29-31 2019

https://www.turing.ac.uk/events/mathematics-data

Talk @ LightOn Workshop #3: The Future of Random Matrices

https://www.meetup.com/en-AU/LightOn-meetup/events/260564958/

see also on Nuit Blanche

Talk @ mini-symposium @ SMAI2019, Guidel, May 13 2019

Mini-symposium: s’affranchir du maillage : résoudre les EDP par le deep learning

http://smai.emath.fr/smai2019/programme_detaille.php

https://github.com/jbscoggi/smai-2019