Roussel.

Welcome 👋

To learn more about me, go to the About page. You’ll find some work I’ve contributed to in Projects and Publications. For a nice read, go to the Blog section. There you’ll find interesting stories ranging many disciplines. Some very focused, and others quite random !

News

• 06 Mar. 2025 : Our latest paper MixER: Better Mixture of Experts Routing for Hierarchical Meta-Learning was unanimously accepted into the SCOPE workshop @ ICLR 2025. Looking forward to seeing everyone in Singapore !
• 13 Feb. 2025 : I gave a talk at the University of Bristol’s EPS Seminar Series and the Engineering Design Society. It’s about Neural Context Flows and follow-up work on foundational models for science. ☞ Slides
• 22 Jan. 2025 : I’m delighted to announce that our paper Neural Context Flows has been accepted to ICLR 2025. More info to come, including a blogpost with code and weights !
• 07 May. 2024 : I’m attending ICLR’24 in Vienna and presenting a poster at the workshop on AI4DifferentialEquations in Science. I’m looking to have as much fun as possible. Please reach out if you’re there as well :).
• 17 Apr. 2024 : My profile now appears on the Engineering Includes Me wall in the University of Bristol’s iconic Queen’s Building. This rewards our after-school work with Codemakers. ☞ Blog Post
• 13 Mar. 2024 : I’m going to the Turing Institute to attend the launch of their Probabilistic Programming theme. Looking forward to using Turing.jl !
• 20 Nov. 2023 : I’m giving a talk at the 2nd workshop on Physics Enhancing Machine Learning in Applied Mechanics, held at the Institute of Physics in London, UK. ☞ Access my slides.

Toggle more news

• 13 Nov. 2023 : Our paper on mesh-free differential programming for optimal control is out during SuperComputing’23. ☞ Have a read here.

• 18 Sep. 2023 : I’m attending the 175th European Study Group with Industry (ESGI) in Berlin, Germany. ☞ Link.

• 01 Aug. 2023 : I’ve pre-released version 0.1.4 of Updes: a mesh-free differentiable software for quick experimentation with a variety of PDEs. ☞ Repo.

• 10 Mar. 2023 : I gave a talk at CMU Africa on emerging techniques and applications of graph neural networks. ☞ Recording.

• 01 Dec. 2022 : I began my research on AI, HPC, and Scientific Machine Learning for mesh-free simulations. ☞ Synopsis.

• 10 Oct. 2021 : I moved to Bristol for a PhD in the Interactive AI CDT. Find pictures of my trips on ☞ Instagram.

Selected stories*

• A parallel theory of the causal mind ➡️ Read

• Welcome to our brand-new website ! ➡️ Read

• Mesh-free simulation in the age of Big Data ➡️ Coming soon …

Stay up to date and get more stories by signing up for my weekly newsletter in the Blog section.

Selected publications*

• Accelerating Algebraic Multigrid Using Machine Learning ☞ Abstract
• Fracturation de floes de glace par percussion dans un modèle granulaire ☞ Abstract
• Simulation 2D de l’équation du transfert radiatif et reconstruction de la densité par un réseau de neurones ☞ Abstract

All articles and theses can be found in the Publications section.

Reach out 🙂 ?