Mathilde Papillon🦋 mathildepapillon .bsky .social
@mathildepapillo
Deep Learning + Topology + Movement PhD-ing @Geometric_Intel @UCSBPhysics AI Research Scientist @Dodgers⚾️ Prev. @McGillUPhysics BlueSky: @mathildepapillon
TopoTune is going to ICML 2025!🎉🇨🇦 Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at geometric-intelligence.github.io/topotune/
If you’re working on symmetry and geometry in neural representations, submit your work to NeurReps and join the community in San Diego ! 🤩 Deadline August 22nd.
Are you studying how structure shapes computation in the brain and in AI systems? 🧠 Come share your work in San Diego at NeurReps 2025! There is one month left until the submission deadline on August 22: neurreps.org/call-for-papers
ICML poster session was great, ICML puppy lounge was legendary
Hi! Who is at ICML? Feel free to reach out:) Our poster session starts tomorrow at 11am E-3101
TopoTune is going to ICML 2025!🎉🇨🇦 Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at geometric-intelligence.github.io/topotune/
We’re back at it again! Honored to serve as Topological + Geometric ML chair this year. Can’t wait to see your submissions🤩
📢 Call for Papers: NeurReps 2025 ‼️‼️‼️ 🧠 Submit your research on symmetry, geometry, and topology in artificial and biological neural networks. Two tracks: Proceedings (9 pages) and Extended Abstract (4 pages). Deadline: Aug 22, 2025. neurreps.org/call-for-papers
and big thanks to our amazing area chairs: Meenakshi Khosla ( @meenakshik93) Neuroscience + Interpretability Soledad Villar (@SoledadVillar5) Symmetry + Equivariance Mathilde Papillon (@mathildepapillo) Topological + Geometric ML
The era of artificial scientific intelligence is here. As algorithms generate discoveries at scale, what role remains for human scientists?🤔 Thanks @PLOSBiology for publishing my perspective @ai_ucsb @ucsbece @UCSBengineering @ucsantabarbara ! journals.plos.org/plosbiology/ar…
Pregnancy & motherhood transform the brain in ways we're only beginning to understand🧠 We're uncovering these changes with @susanna_carmona @MagdaMartinezGa @emilyjacobs @hannahgrotz @kayaGjordan @neuromaternal thanks to @cziscience's generous support ! tinyurl.com/38jb7hm6
Thrilled to share this new preprint on Ordered Topological Deep Learning🔢🍩 We're turning theory into real-world impact by bringing TDL to computer network studies 🤖 Led by @gbg1441 w/ Miquel Ferriol, Carlos Güemes, @mathildepapillo Pere Barlet Albert Cabellos &I Details🧵👇
📢 New Paper Alert! 🚀 Excited to share our latest work, "Ordered Topological Deep Learning: a Network Modeling Case Study", which shows the first state-of-the-art TDL application to a real-world scenario! 📄arxiv.org/pdf/2503.16746 A thread 🧵👇 (1/5)
We are looking for reviewers to serve on the Program Committee of the Symmetry and Geometry in Neural Representations (NeurReps) workshop at NeurIPS 2025! If you are interested in participating, please fill out this form: forms.gle/wgUXHT7Mq71nK3… @neur_reps
An absolute must-read! 🚀 Huge congrats to all the authors on this impressive work — definitely worth checking out!
TopoTune is going to ICML 2025!🎉🇨🇦 Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at geometric-intelligence.github.io/topotune/
Ever wanted to try topological deep learning but felt overwhelmed by the complexity? 👉 Meet TopoTune: a plug-and-play framework that turns any graph neural networks into a topological one! @mathildepapillo @gbg1441 @ClaBat9 @geometric_intel @ai_ucsb @ucsbece
TopoTune is going to ICML 2025!🎉🇨🇦 Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at geometric-intelligence.github.io/topotune/
Gorgeous tutorial from Mathilde! Check it out!
TopoTune is going to ICML 2025!🎉🇨🇦 Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at geometric-intelligence.github.io/topotune/
@gsp_workshop first day! Started off with an exciting keynote by @mathildepapillo on making GNNs go topological with TopoTune ! see GitHub.com/geometric-inte….
Come find me @gsp_workshop @Mila_Quebec all week! Can’t wait to be back in Montreal connecting with the community🕸️ I’ll be speaking on purely graph-based (!) Topological Deep Learning first thing tomorrow at 9am. Let’s kick off this workshop in style🍩
It's almost time for #GSP2025 ⏱️🥳 We're super excited to host you at @Mila_Quebec this coming Wednesday, 14th May! Hope those posters are coming along 😉 👉🏻 FYI: Registrations are still open, so we encourage you to visit our website for details: gspworkshop.org
😇Hijacking this great thread to talk about a potential way to _identify_ problems with existing benchmarking datasets (also to appear in ICML 2025): arxiv.org/abs/2502.02379 TL;DR: We look at how "graphical" graph benchmarking datasets are. Spoiler: less than you'd hope for!
📣 Our spicy ICML 2025 position paper: “Graph Learning Will Lose Relevance Due To Poor Benchmarks”. Graph learning is less trendy in the ML world than it was in 2020-2022. We believe the problem is in poor benchmarks that hold the field back - and suggest ways to fix it! 🧵1/10
Last, but not least, OrdGCCN sets the stage for future TDL-driven applications in fields requiring sophisticated structures! 💫 Huge shoutout to my great collaborators! Miquel Ferriol, Carlos Güemes, @mathildepapillo, Pere Barlet, Albert Cabellos, @ninamiolane (5/5)