Mathilde Papillon🦋 mathildepapillon .bsky .social

Deep Learning + Topology + Movement
PhD-ing @Geometric_Intel @UCSBPhysics
AI Research Scientist @Dodgers⚾️
Prev. @McGillUPhysics
BlueSky: @mathildepapillon

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

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 https://t.co/GjNEKkvm8s

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

@dholmbrg Such cool methodological work for such an important application🌎 Congrats Daniel!

[Daniel Holmberg @dholmbrg]

The ocean is inherently chaotic, yet existing data-driven ocean models produce deterministic forecasts. In our new preprint, we introduce Njord, a probabilistic graph neural network for ensemble ocean forecasting.

Link: https://t.co/CMd0JfSd4C

A couple highlights below 🧵

[Nina Miolane 🦋 @ninamiolane.bsky.social @ninamiolane]

Can geometry help explain how neuronal signals create consciousness?🤔🌐

Loved diving into this massive question with the brilliant @claire_i_webb thanks to @longnow & @berggruenInst !

Watch our full conversation here ⬇️
@ucsbece @geometric_intel @ai_ucsb

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

@louisacornelis @LouisVLang @ninamiolane @gbg1441 @geometric_intel @johmathe A super example of why critically evaluating GNNs is so important!! Well done🙌

[Louisa Cornelis @louisacornelis]

⁠We're releasing OgBench: the first benchmark for GNNs on omics data in the n≪p regime. Every major benchmark (OGB, TUDataset, LRGB, GraphBench) operates where the number of graphs (n) far exceeds nodes per graph (p). But biology is the opposite: few patients, massive graphs.

[UCSB ECE @ucsbece]

🏥Congratulations to ECE Prof. Ramtin Pedarsani's team on receiving a UC Noyce Initiative award to develop robust vision-language models for clinical applications — part of a $3.4M UC-wide research push for computational health and cybersecurity.🤖

🔗https://t.co/QKPGcyzZms

[UCSB ECE @ucsbece]

🔬How do you study thousands of neurons at once? You build better tools.

ECE Prof. Spencer Smith's SLAB Lab designed a scan angle multiplier that achieves the laser scanning trifecta: high speed, high resolution, and a larger area.🧠⚡

📜https://t.co/18BTgoGsuL

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

@TAGinDS @ARLQ_AI @newtheoryai @UCSB @EPFL_en Also a huge shoutout to the incredible team of organizers behind this! @gbg1441 , @lev_telyatnikov , @louisacornelis @LouisVLang Marco Montagna, Olga Fink , @ninamiolane

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

🏆 The 2026 Topological Deep Learning Challenge is officially live, now in its 4th edition! 🏆
This year’s theme is “Bridging the Gap” between the GNN and TDL worlds.

Win incredible prizes including up to $1000 in cash 💸 and AI research internships!

Submission deadline: Aug. 1

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

A huge thank you to our partners!
📍 Special shoutout to @TAGinDS for hosting the challenge for a 2nd year.
💰 Cash prizes sponsored by the amazing teams at Arlequin AI @ARLQ_AI and New Theory @newtheoryai
🏛️ Internships hosted by world-class labs at @UCSB and @EPFL_en

[Lev Telyatnikov @lev_telyatnikov]

The next TDL challenge edition is out!!

[Geometric Intelligence Lab @geometric_intel]

✨The 2026 TDL Challenge is up 🚀

$1000 in prize money and the opportunity for AI research internships? I'm interested 😼

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

We can’t wait to see your submissions! Full challenge guidelines and requirements are available here:
https://t.co/MVEkbP0iU9
Results announced at @TAGinDS Boston, Aug. 18–20. Participation does not require attending!
#TDLChallenge #TopologicalDeepLearning #AI #ML #TAGinDS

[UCSB ECE @ucsbece]

🎉 Congratulations to ECE Professor James Buckwalter on being inducted as a Senior Member of the National Academy of Inventors!🏆

@AcadofInventors @ucsantabarbara @UCSBengineering

🔗https://t.co/JusaQfMO1Y

[Goodfire @GoodfireAI]

Neural networks might speak English, but they think in shapes.

Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision.

Starting today, we’re releasing a series of posts on this research agenda. 🧵

[UCSB ECE @ucsbece]

@UCSBengineering is launching METL — the Master of Engineering & Technology Leadership — the first fully online master's degree at @ucsantabarbara, built for working tech professionals around the world.

[Daniel Kunin @KuninDaniel]

Excited to share that our paper “Sequential Group Composition: A Window into the Mechanics of Deep Learning” was accepted to ICML 2026 in Seoul!

Co-led with @giovannimarchet
and @AdeleMyersPhD @hopfbifurcator @ninamiolane

Paper: https://t.co/8HsLrKWtlf

[Long Now Foundation @longnow]

Thank you to everyone who attended our Long Now Talk at The Interval with mathematician and machine learning researcher @ninamiolane and science historian @claire_i_webb. They explored the question of consciousness from an unexpected direction: geometry.

Geometry is the most ancient branch of physics, Miolane said. It’s the language we use to describe the curvature of spacetime and the general relativity of the universe. Might it also map the universe inside us?

Stay tuned, the full Talk will be released on YouTube next week. Huge thanks to our partners @berggruenInst @NoemaMag for a magical evening.

Photos by Anthony Thornton.

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

Such important work as AI becomes prevalent in healthcare! Go check it out in Rio🇧🇷

[Louisa Cornelis @louisacornelis]

Interested in evaluating model explainability fairly?

Come see me tomorrow at #ICLR2026 !
📍 P4-#4017 (Pavilion 4)
🗓️ Thu 23 Apr, 10:30am-1:00pm

Or just reach out to say hi!

[Louisa Cornelis @louisacornelis]

Interested in evaluating model explainability fairly?

Come see me tomorrow at #ICLR2026 !
📍 P4-#4017 (Pavilion 4)
🗓️ Thu 23 Apr, 10:30am-1:00pm

Or just reach out to say hi!