Joined July 2022
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- Followers 2,445
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42 Photos and videos
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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.githu…
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
Jun 11
Have you debugged your training data? You might not like what you find.
Introducing predictive data debugging: reveal and shape what your model will learn before training.
In DPO datasets, we found broken guardrails, hallucinations, and fish fart fan fiction (seriously). (1/9)
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
Jun 11
Our new paper is out this week in @NatureNeuro! We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why: nature.com/articles/s41593-0…
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
🤖Computers hold in memory GBs of data with perfect fidelity for hrs.
🧠Yet a person asked to remember a long serial nb fails in seconds.
This memory limit is shared across species from rodents to primates. It inspired over 50 years of research.
Where does it come from?👇
Jun 9
A computer holds data perfectly for hours. A person asked to remember a long number fails in seconds. Why?
The answer is tangled up with something both brains and neural nets do: they code in low dimensions. 🧵
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
Jun 10
Incredible work from the most talented people @ninamiolane @mathildepapillo
Brains (and RNNs) are noisy and it turns out this has mega implications for working memory🧠
Helping this project (my first in NeuroAI!) was a learning curve so I’m super grateful to @fatihdin4en and team for including me. Preprint: biorxiv.org/content/10.64898…
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
Great work from @fatihdin4en and co on the interplay between dimensionality of neural code and robustness to noise!
Jun 9
A computer holds data perfectly for hours. A person asked to remember a long number fails in seconds. Why?
The answer is tangled up with something both brains and neural nets do: they code in low dimensions. 🧵
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Brains (and RNNs) are noisy and it turns out this has mega implications for working memory🧠
Helping this project (my first in NeuroAI!) was a learning curve so I’m super grateful to @fatihdin4en and team for including me. Preprint: biorxiv.org/content/10.64898…
Jun 9
A computer holds data perfectly for hours. A person asked to remember a long number fails in seconds. Why?
The answer is tangled up with something both brains and neural nets do: they code in low dimensions. 🧵
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
Jun 1
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: arxiv.org/abs/2605.15470
A couple highlights below 🧵
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
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
May 20
How do the binary electronic signals of neurons give rise to consciousness? Mathematician and machine learning researcher @ninamiolane joined science historian @claire_i_webb to explore this question from an unexpected direction: geometry.
A fascinating conversation that included everything from Jennifer Aniston to the neuroscience of regret. Watch the full episode on YouTube -> youtube.com/watch?v=IUlBwKin…
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
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.
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🏥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.🤖
🔗tinyurl.com/mm9jb8x
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🔬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.🧠⚡
📜tinyurl.com/36j7pa3d
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🏆 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
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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
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Also a huge shoutout to the incredible team of organizers behind this! @gbg1441 , @lev_telyatnikov , @louisacornelis @LouisVLang Marco Montagna, Olga Fink , @ninamiolane
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
The next TDL challenge edition is out!!
🏆 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
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
✨The 2026 TDL Challenge is up 🚀
$1000 in prize money and the opportunity for AI research internships? I'm interested 😼
🏆 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
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We can’t wait to see your submissions! Full challenge guidelines and requirements are available here:
geometric-intelligence.githu…
Results announced at @TAGinDS Boston, Aug. 18–20. Participation does not require attending!
#TDLChallenge #TopologicalDeepLearning #AI #ML #TAGinDS
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🎉 Congratulations to ECE Professor James Buckwalter on being inducted as a Senior Member of the National Academy of Inventors!🏆
@AcadofInventors @ucsantabarbara @UCSBengineering
🔗tinyurl.com/ubk93ahf
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Mathilde Papillon🦋 mathildepapillon .bsky .social retweeted
May 7
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. 🧵
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@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.
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