Welcome to the seminars of the GAIA team (Géométrie, Apprentissage, Information, Algorithmes) of GIPSA-lab. The objective of GAIA seminars is to invite, about every two months, well-known researchers in signal processing and machine learning (and more…) to give an introductive seminar on their research field. Everybody is welcome to join, you can subscribe to the mailing list below.

Next seminar

November 16th, 2022, 11h, Amphithéâtre de la Maison du doctorat Jean Kuntzman.
Agnès Desolneux (CNRS - Centre Borelli)
Title: Maximum Entropy Distributions For Image Synthesis Under Statistical Constraints
Abstract: In this seminar, I will talk about exponential distributions that are maximum entropy distributions under statistical constraints, and more precisely about the way they are defined and how to sample them. I will present several applications in image synthesis.

November 17th, 2022, 13h30, Amphithéâtre de la Maison du doctorat Jean Kuntzman.
Shiro Ikeda (ISM, Tokyo)
Title: The Images of Blackhole shadows
Abstract: The Event Horizon Telescope collaboration (EHTC) has more than 300 members from different backgrounds and countries. In April 2019, we released images of two black hole shadows. The first one was the black hole at the centre of the M87 galaxy (April 2019), and the other was the one at the centre of our Milky Way galaxy (May 2022). The EHT is a huge Very Long Baseline Interferometer (VLBI), which is different from optical telescopes in that a lot of computation is required to obtain a single image. I have been involved in the project as a data scientist and collaborated with EHTC members to develop a new imaging method. In this talk, I will explain how the new imaging technique has been developed and the final images were created.

Mailing list

To receive informations about the seminars (especially for virtual seminars during the COVID-19 pandemic), subscribe to the mailing list here.

Organizers

• Nicolas Tremblay (CNRS, GIPSA-lab)
• Nicolas Keriven (CNRS, GIPSA-lab)

Contact

firstname.name [at] gipsa-lab.grenoble-inp [dot] fr