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FIL Talk – April, 6

6 avril 2023 à 15 h 00 min - 16 h 00 min

We are pleased to invite you to FIL Seminar that will be hold on April, 6.

When: April, 6, 3pm-4pm
Where: Campus de la Doua – Bâtiment Hedy Lamarr- Département Télécommunications
Amphithéâtre Claude Chappe
6 Av. des Arts, 69100 Villeurbanne

Attend onlinehttps://ent-services.ens-lyon.fr/entVisio/quickjoin.php?hash=ae81089b2b5356fb8a20462eae5be1f0ee5357942a65796441d56497e5f2eda6&meetingID=9860

Name of BBB room: FIL-seminaires
PSW: FILNouveauxArrivants

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Talk by: Jérémy Cohen (CREATIS)
Title:
Semi-supervised Low-rank Approximations
Keywords:

tensor decomposition, sparse approximations, convex optimization, machine learning

Abastract:
Low-rank approximations are typically unsupervised machine learning problems, that aim at extracting meaningful patterns from tensor dataset. While these methods have countless applications in data science, in many cases a priori knowledge on the patterns to extract is discarded. In the recent years, I have looked at low-rank approximation models that allow some sort of supervision, to incorporate various kind of a priori information. In this talk, after a quick general introduction on semi-supervised low-rank approximations, I will zomm on a recent model called Dictionary-based low-rank approximation, where one looks for patterns that are sparse in a known basis.

Speaker bio:

Jérémy Cohen is a CNRS researcher affected to CREATIS, team Myriad since 2022. Before that, he was affected to IRISA, Rennes. He works on low-rank factorizations in data mining, with a strong focus on tensor decompositions, nonnegative matrix factorization, dictionary-based representations, data fusion and numerical optimization. He was previously a post-doctoral researcher at the University of Mons, Belgium. From 2013 to 2016, he was a PhD student under the supervision of Pierre Comon at Gipsa-lab, Grenoble.
He studied at Ecole Centrale de Lyon from 2010 to 2013 with major in Mathematical engineering, with double degrees in Mathematics (bachelor) and Telecommunications (master with INSA Lyon).
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Talk by: Théo Pierron (LIRIS)

Title: 
Graph coloring via automatic discharging
 
Keywords:
graph coloring, discharging method, automatic proof, linear programming
Abastract:

Graph coloring is one of the most studied problems in graph theory. It originated in the 19th century with a well-known question: are four colors sufficient to color differently regions sharing a same border? About a century later, the question was finally solved by the so-called Four Color Theorem. At the core of its proof is a powerful tool, named the « discharging method », whose major downside is that it often requires lengthy case analyses. For the Four Color Theorem, this analysis is given to a computer for verification. This provided one of the first occurrences of a computer assisted proof.

Nowadays, using computers is more common to obtain some proofs, especially to deal with large verifications. However, it is still quite uncommon for a computer to actively look for a proof. We present here a Linear Programming approach to automatically look for a discharging proof and apply it to make some progress towards Wegner’s conjecture for distance-2 coloring of planar graphs. More precisely, we show that 12 colors are sufficient to color at distance 2 every planar graph with maximum degree 4.

Speaker bio:
After studying at ENS Rennes, Théo Pierron did a PhD at LaBRI in Bordeaux. He then went to Masaryk University (Brno, CZ) for a one-year postdoc before being hired as associate professor at LIRIS in 2020. His work involves graph theory and algorithmics. Hde is also interested in most areas of discrete mathematics.
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Moderators:

Amaury Habrard, Mathieu Lefort, Hamamache Kheddouci, Jean-Michel Muller

Détails

Date :
6 avril 2023
Heure :
15 h 00 min - 16 h 00 min