- Date: Wednesday, December 4th
- Time: 9 AM to 5:30 PM
- Location: Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris)
*Registration closes on November 11th
*Free to attend
INVITED SPEAKER
- Dr. Alon HALEVY – Well-being, AI, and You: Developing AI-based Technology for Well-being
- Prof. Nikos PARAGIOS – Seeing the Invisible – Doing the Impossible: Reinventing Healthcare with Generative AI-powered diagnosis, treatment and beyond
FEATURED PROJECTS
(Click the title to read more)
- Biology
- Chemistry
- Computer Science
- Earth Sciences/Geosciences
- Linguistics
- Mathematics/Statistics
- Medicine
- Physics/Astronomy
- DIAI
- Tatiana Galochkina, “Deep learning-based prediction of protein-carbohydrate interactions”
- Anne-Claude Camproux, “Exploring the similarities of a large bank of protein pockets in a perspective of multiple protein-ligand interactions prediction”
- Emmanuel Curis, “Modeling conditioned place preference test for evaluation of addictiveness of substances: toward experimental design optimization & smart data analysis”
- Jean-Christophe Gelly, “Towards design of protein knottin using deep learning”
- Daniel Foliard, “Identification of image circulation by AI in large collections of historical photographs”
- Soror Sahri, “Maintaining fairness for decision-making under social considerations”
- Jean-Baptiste Masson, “A Simulated body approach to MRI-based fetal monitoring”
- Valerie Mezger, “Diffusion Models Based Visual Counterfactual Explanations“
- Andrés Almansa, “Blind Image Deblurring via Latent Diffusion Models”
- Andrés Almansa, “Deep learning for estimating gas concentration maps from satellite or airborne hyperspectral images”
- Marie Verbanck, “Deep Mendelian Randomization: explaining causality between different hereditary traits at genome-wide scale”
- Alexandre Boucaud, “Investigating Diffusion Models for Astronomical Image Deconvolution – boosting the synergy between Euclid and LSST”
- Quentin Baghi, “Compact representations to detect gravitational waves from extreme-mass ratio inspirals”
- Yvonne Becherini, “Accelerate Discoveries (boosting) Astroparticle Physics (analysis) Techniques – ADAPT”
- Zhuxian Guo, Exploration intelligente de lames histologiques
- Alexandra Rogova, Design principles of property graph languages
- Guillaume Serieys, Metamorphoses and optimal transport for the multimodal registration of brain tumor images
- Jack Berat, Learning the magneto-ionic side of the turbulence in the interstellar medium in radio-astronomy
- Matthieu Nougaret, Leveraging multivariate geophysical and geochemical time series for monitoring volcanic systems: can we use machine learning?
- Santiago Peña-Martinez, Deeply Learning from Neutrino Interactions with the KM3NeT neutrino telescope
EVENT BROCHURE
AGENDA
09:00 AM – 09:30 AM: Registration
09:30 AM – 09:40 AM: Opening
09:40 AM – 10:40 AM: Keynote Talk 1 – Prof. Nikos Paragios
10:40 AM – 11:10 AM: Coffee Break & Poster Session
11:10 AM – 12:30 PM: Project Presentation
12:30 PM – 02:00 PM: Lunch in the Galerie Saint-Germain
02:00 PM – 03:30 PM: Project Presentation
03:30 PM – 04:00 PM: Coffee Break & Poster Session
04:00 PM – 04:40 PM: Project Presentation
04:40 PM – 05:40 PM: Keynote Talk 2 – Dr. Alon Halevy
05:40 PM: End
REGISTRATION
2024 DIIP PROJECTS DAY – Registration Form
*Registration closes on November 11th
*Free to attend
For further information inquiry: contact.info.diip@gmail.com
PRACTICAL INFORMATION
Address : 12 rue de l’école de Médecine 75006 Paris
Metro : Odéon (line 4 or 10) station
RER: St-Michel (lines B or C) station
Bus : 38, 47, 63, 70, 86 lines
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