Poster session

You can present your research, an open problem for which you would like advice, how you would like to apply generative AI to your topic, etc. As you wish!

You will be asked to present your work during a short talk (2-3 minutes, 2-3 slides).

We can print your poster if you send it to us before the 16th of October!

Process:

• If you need printing, please send your poster to gs.isn@universite-paris-saclay.fr (cc) before the 16th at 6 PM. Let us know if you have any problems. Some details :
  • There is no poster template. We need your poster in a PDF file of size A0.
  • If we print the poster, we want you to add the GenAI-School logo. (https://paris-genai-school.github.io/Images/Logo_GenAI-SCHOOL.png)
  • The list of posters will be on the website.
  • If you send us your PDF, we will add it to the website (except if you say otherwise).
• If you don’t need printing, please email your name, affiliation, PDF file (if you want us to put it on the website) and poster title to gs.isn@universite-paris-saclay.fr before the 18th at 6 PM.

Posters

Monday 21th of October

1 - Integrating expert knowledge with vision-language models for medical image retrieval, Wei Wiaoyang, LIPADE, Université Paris Cité
3 - Survey of mtDNA recombination in opisthokonta, Kravchenko Pavel, Max Planck Institute
5 - A Convolutional Autoencoder for 2D-3D Particle Reconstruction, Tendyra Steven, The University of Manchester / CrystalGrower Ltd
7 - ESM sensor digital twin speed-up by AI injection : deep learning approch, Cornu Matthieu, Thalès, SATIE, ENS Paris-Saclay
9 - Fast prediction of marine flood maps assisted by machine learning techniques, Rohmer Jérémy, BRGM
12 - Using a Language Model for Near-Surface Seismic Imaging, José Cunha Teixeira, Sordonne Université, Mines Paris-PSl, SNCF Réseau

Wednesday 23 of October

2 - Learning Structural Causal Models through Deep Generative Models: A Survey on Methods, Guarantees, and Challenges, Audrey Poinsot, INRIA Saclay, Ekimetrics
4 - Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models, Le Coz Adrien, IRT SystemX, ONERA, Université Paris-Saclay
6 - The scenario generation problem: a GCN-VAE based approach, Carbonera Michele, University of Milano - Bicocca
8 - Hybridation of Symbolic AI and Deep Learning for Misinformation Detection in Dynamic Knowledge Bases, Faye Géraud, MICS, Centrale Supelec, Université Paris-Saclay
10 - Memory-Efficient Continual Learning With Neural Collapse Contrastive, Dang Trung Anh, LIFO, Université d’Orléans
11 - Talking Heads: Bootstrapping Pre-trained LLMs to Build an end-to-end Speech Foundation Model, Stefano Perna, Roma Tre University
13 - Learning to Sample Solutions for Combinatorial Optimization Problems, Alexandre Schulz, Laboratoire d’Informatique Paris-Nord
14 - UAV Swarm Trajectory Design for Wireless Networks Using Genetic Algorithm-Driven Repulsion Forces, Kaleem Arshid, Université of Genova, Université of Madrid
15 - Automatic assessment of legal protection of marine biodiversity using NLP, Youssef Al Mouatamid, Univ Brest, Cadi Ayyad University