27 Feb 2025 • Paris
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Brain to Machine:
Generative AI Paris

Join us at the From Brain To Machine: Generative AI in Paris 2025 Conference, where leading experts and emerging researchers explore cutting-edge advancements, transformative applications, and interdisciplinary insights in the rapidly evolving world of generative AI.

Date
27 Feb 2025
Venue
Learning Planet Institute
Location
Paris, France

About

Welcome to the Generative AI Conference, organized by master’s and PhD students from the EURIP Graduate School for Interdisciplinary Research at Université Paris Cité, Paris. This event brings together leading experts and emerging researchers to explore the latest advancements, applications, and theoretical underpinnings of generative AI.

The conference spans diverse domains, including state-of-the-art artificial neural network model theories and generative AI applications in various disciplines (e.g., poetry & healthcare), while also examining LLMs' intriguing parallels with the brain.

1


Day

3


Sessions

5


Keynotes

11


Speakers

Speakers

Learn from the expert speakers on the latest trends in research and applications of generative AI. Please click on each speaker's profile photo to see more details.

Gabriel Peyré

Gabriel Peyré

CNRS Research Director, École normale supérieure

Stéphane d'Ascoli

Stéphane d'Ascoli

Research Scientist at Meta AI

Sam Illingworth

Sam Illingworth

Professor, Edinburgh Napier University

Jorge Fernandez de Cossio Diaz

Jorge Fernandez de Cossio Diaz

Researcher, Université Paris-Saclay

Tony Bonnaire

Tony Bonnaire

Postdoctoral researcher, École Normale Supérieure de Paris

Pierre Orhan

Pierre Orhan

Postdoctoral Researcher at PicNic Team, Institut du Cerveau

Samantha Fournier

Samantha Fournier

PhD candidate, Université Paris-Saclay

Marco Naguib

Marco Naguib

PhD candidate, LISN (CNRS, Université Paris-Saclay)

Pablo J. Diego Simón

Pablo J. Diego Simón

PhD candidate, École Normale Supérieure

Louis Jalouzot

Louis Jalouzot

PhD candidate, École normale supérieure

Maxence Pajot

Maxence Pajot

PhD candidate, École normale supérieure

Schedule

Events will take place both in person and online unless stated otherwise.

Theory & Model

Discussion on Theoretical Breakthroughs in Generative AI

9:00 AM - 9:30 AM CET
Breakfast
Conference Opening
(In-Person Only)
9:30 AM - 10:00 AM CET
Samantha Fournier
Generative Modeling through Internal High Dimensional Chaotic Activity
10:00 AM - 10:45 AM CET
Jorge Fernandez Cossio Diaz
Disentangling Representations in Restricted Boltzmann Machines without Adversaries
10:45 AM - 11:30 AM CET
Tony Bonnaire
The High-Dimensional Generative Dynamics of Diffusion Models
11:30 AM - 12:00 PM CET
Coffee Break

Transformative Application

Applications of Generative AI Transforming Science and Beyond

12:00 PM - 12:45 PM CET
Sam Illingworth
Echoes and Algorithms: Exploring the Divide Between AI-Generated and Human Poetry
12:45 PM - 2:00 PM CET
Lunch
Lebanese Dishes
(In-Person Only)
2:00 PM - 2:45 PM CET
Gabriel Peyré
Trajectory Inference Using Optimal Transport for Single-Cell Data Analysis
2:45 PM - 3:15 PM CET
Marco Naguib
Prompt Engineering for Medical Data Extraction
3:15 PM - 3:30 PM CET
Coffee Break

Parallels with Brain

Comparison between LLMs and Human Cognition & Brain

3:30 PM - 4:15 PM CET
Stéphane d’Ascoli
Towards Decoding Language from Non-Invasive Brain Recordings
4:15 PM - 4:45 PM CET
Pierre Orhan
Linguistic Structure in LLMs
4:45 PM - 5:00 PM CET
Coffee Break
5:00 PM - 5:30 PM CET
Pablo J. Diego Simón
Learning Dynamics in Artificial & Biological Neural Networks
5:30 PM - 6:00 PM CET
Louis Jalouzot
Metric-Learning Encoding Models
6:00 PM - 6:30 PM CET
Maxence Pajot
Abstract Thinking in Brains & AI Models

In-person attendees will be provided with a light breakfast (9:00–9:30 AM) to start the day, a networking lunch (12:45–2:00 PM) to connect with fellow participants, and a post-conference apéro session (6:30–7:30 PM) to relax and socialize over drinks and snacks.

Organizers

We are a group of passionate PhD and Master's students with a shared enthusiasm for generative AI. Our team members come from disciplines including physics, biology, computer science, linguistics, neuroscience, and cognitive sciences, reflecting the interdisciplinary nature of this rapidly evolving field.

Jawad Bin Anwar

Jawad Bin Anwar

Hao Chen

Hao Chen

Michael Goodale

Michael Goodale

Mahdi Mansour

Mahdi Mansour

Joséphine Raugel

Joséphine Raugel

Thomas Tulinski

Thomas Tulinski

Zofia Samsel

Zofia Samsel

Altynbek Zhubanchaliyev

Altynbek Zhubanchaliyev

Sponsors

Université Paris Cité logoLearning Planet Institute logoEcole Universitaire de Recherche Interdisciplinaire de Paris logoUniversité PSL (Paris Sciences & Lettres) logoFondation Bettencourt Schueller logoAgence nationale de la recherche logo