Mathilde Papillon

Thanks @ucsantabarbara.bsky.social for highlighting our #TIMEBestInvention of the Year award!

tinyurl.com/4939bxu5

This strengthens our commitment to innovating for women's brain health with @ai-ucsb.bsky.social & @bowers-wbhi.bsky.social 🧠

Moneyball 2.0!

Discover how @mathildepapillon.bsky.social 's research is transforming AI for sports with the LA Dodgers! ⚾️

#ProudAdvisor

@geometric-intel.bsky.social @ai-ucsb.bsky.social @ucsbengineering.bsky.social @ucsantabarbara.bsky.social @ucsbece.bsky.social @ucsb-cs.bsky.social

HerBrain on TIME BEST INVENTIONS OF THE YEAR! I am grateful for the opportunity to work on this project and for many interesting conversations while presenting this work. Want to learn more about how pregnancy/menstruation changes the brain? See our poster⬇️, or public talk⬇️

Really enjoyed this recent interview on my work with the Dodgers and how the @geometric-intel.bsky.social lab prepared me for it! Thank you for having me UCSB⚾️ Check it out here science.ucsb.edu/news/geometr...

Thrilled to see these two papers by Simon Mataigne, co-authored with P.-A. Absil published this month 🤩

They connect deep mathematical theory to practical algorithms on the Stiefel manifold and the approximation of the Riemannian barycenter 🌐

Details & papers👇 @geometric-intel.bsky.social

I am recruiting PhD students for 2026!😃

You want to reveal the geometric signatures of natural and artificial intelligence, and understand computations in brains and AI? 🌐🧠🤖

Apply to the UCSB Geometric Intelligence Lab ✨

This is the view you'd have from... your desk🌴

We are ✨42✨ days away from the Topological Deep Learning Challenge deadline!

Not sure where to start? Participating is as simple as implementing an existing graph dataset :)

Win cash prizes up to 800$ USD graciously offered by #ArlequinAI or internships at UCSB and EPFL

We can't wait to see your innovative solutions! Full details on the tasks and data are on our site:

🔗 geometric-intelligence.github.io/topobench/td...

#TDLChallenge #AI #ML #TAGinDS

A huge thank you to our partners! 🤝

💰 Cash prizes are sponsored by the brilliant team at Arlequin AI.

🏛️ Internships are hosted by the world-class UC Santa Barbara @geometric-intel.bsky.social and EPFL IMOS labs.

🏆The 2025 Topological Deep Learning Challenge is officially live!🏆
Hosted by the TAGinDS Conference 2025

🚀 This year, push the boundaries of topological ML by “Expanding the Data Landscape”

💰 Win incredible prizes, including research internships at UCSB and EPFL, as well as up to $800 US in cash!

In the 20th century, non-Euclidean geometry transformed how we model the world with pen and paper.

Now, it is disrupting how we model the world with machines.

Learn more in our illustrated guide to non-Euclidean ML and AI👇

The updated version is also available on arxiv at arxiv.org/pdf/2407.09468

Thank you to the excellent team of editors @iopp-mlresearch.bsky.social and our referees for a truly productive peer review process. Highly recommend this up and coming journal for any unsubmitted topical reviews out there!

Made possible with the (equal) dedication of @naturecomputes.bsky.social Johan Mathe @louisacornelis.bsky.social and the contributions of @abbybertics.bsky.social , Domas Buracas, Hansen Lillemark, @christian-shewmake.bsky.social , @fatihdinc.bsky.social Xavier Pennec and @ninamiolane.bsky.social

Our illustrated guide to non-Euclidian ML is finally published!
Check it out for
⭐️ gorgeous figures (with new additions!) on topology, algebra, and geometry in the field
⭐️ broken down tables for easy reading
⭐️ accessible text, additional refs, and more
iopscience.iop.org/article/10.1...

Hi! Who is at ICML? Feel free to reach out:)
Our poster session starts tomorrow at 11am E-3101

The fifth era of science: Artificial scientific intelligence Can AI become a true scientist? This Perspective explores how new technologies are reshaping scientific discovery, and why human expertise remains essential as we enter a new era of research powered b...

Can #AI become a true scientist? @ninamiolane.bsky.social explores how new technologies are reshaping scientific discovery, and why human expertise remains essential as we enter a new era of research powered by intelligent algorithms. 🧪‬
plos.io/4kZi0aB

Pregnancy &motherhood transform the brain in ways we're only beginning to understand🧠

Uncovering these changes w/ @susanacarmona.bsky.social @magdamartinezga.bsky.social @emilyjacobs.bsky.social @grotzinger.bsky.social Kaya Jordan & @cziscience.bsky.social's generous support!

tinyurl.com/38jb7hm6

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/wgUXHT7Mq71n...

@neurreps.bsky.social

Thank you Guillermo Bernárdez, @clabat9.bsky.social @ninamiolane.bsky.social
for making this work possible!
🏠 @geometric-intel.bsky.social @ucsb.bsky.social

🍩TopoTune takes any neural network as input and builds the most general TDL model to date, complete with permutation equivariance and unparalleled expressivity.

⚙️ Thanks to its implementation in TopoBench, defining and training these models only requires a few lines of code.

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/

Come find me @gsp-workshop.bsky.social at MILA 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🍩

How can neural nets extract *interpretable* features from data—& uncover new science?

👉 Discover our mathematical framework tackling this question w/ identifiability theory, compressed sensing, interpretability & geometry!🌐

By @david-klindt.bsky.social @rpatrik96.bsky.social C. O'Neill H Maurer

From superposition to sparse codes: interpretable representations in neural networks Understanding how information is represented in neural networks is a fundamental challenge in both neuroscience and artificial intelligence. Despite their nonlinear architectures, recent evidence sugg...

🔵 New paper! We explore sparse coding, superposition, and the Linear Representation Hypothesis (LRH) through identifiability theory, compressed sensing, and interpretability. If you’re curious about lifting neural reps out of superposition, this might interest you! 🤓
arxiv.org/abs/2503.01824

How does AI memorize information? How does ChatGPT remember your name? How do RNNs keep track of simple numbers?

Our new paper led by Bariscan Kurtkaya & Fatih Dinc explores the geometry of short-term memory in neural networks—revealing limits in how information is stored!🧵
arxiv.org/abs/2502.17433

🤖 New Talk: Geometric Intelligence in Minds & Machines 🧠 Available on Youtube:
www.youtube.com/watch?v=1RtH...

@louisacornelis.bsky.social & I opened the 2025 @neurreps.bsky.social Global Speaker Series !

Thanks @mathildepapillon.bsky.social Chase VDG @btolooshams.bsky.social for hosting!

Thanks for hosting this Mathilde!

Thank you to everyone who showed up in person and online! Congrats to @ninamiolane.bsky.social and @louisacornelis.bsky.social for some stellar talks🤩

Join us remotely or in person to hear from @ninamiolane.bsky.social and @louisacornelis.bsky.social on Geometric Intelligence in Minds and Mahcines.

Thanks, @mathildepapillon.bsky.social, for hosting!