Physics PhD candidate
Now at Geometric Intelligence Lab, UC Santa Barbara and Los Angeles Dodgers
Prev McGill Physics
mathildep.ca
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
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
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🌴
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🌴
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
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 $800 US in cash!
Not sure where to start? Participating is as simple as implementing an existing graph dataset :)
Win cash prizes up to 800$ USD graciously offered by #ArlequinAI or internships at UCSB and EPFL
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!
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!
Now, it is disrupting how we model the world with machines.
Learn more in our illustrated guide to non-Euclidean ML and AI👇
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...
Now, it is disrupting how we model the world with machines.
Learn more in our illustrated guide to non-Euclidean ML and AI👇
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...
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...
Our poster session starts tomorrow at 11am E-3101
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/
Our poster session starts tomorrow at 11am E-3101
plos.io/4kZi0aB
plos.io/4kZi0aB
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
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
@neurreps.bsky.social
@neurreps.bsky.social
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/
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/
I’ll be speaking on purely graph-based (!) Topological Deep Learning first thing tomorrow at 9am. Let’s kick off this workshop in style🍩
I’ll be speaking on purely graph-based (!) Topological Deep Learning first thing tomorrow at 9am. Let’s kick off this workshop in style🍩
👉 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
👉 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
arxiv.org/abs/2503.01824
arxiv.org/abs/2503.01824
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
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
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!
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, @mathildepapillon.bsky.social, for hosting!
@ucsb.bsky.social is hosting us for a talk by @ninamiolane.bsky.social and @louisacornelis.bsky.social on Geometric Intelligence in Minds and Machines! 🧠
🗓️This Friday, February 21st, 11 AM PT
Join in person at UCSB (Elings, 1605) or on Zoom!
Thanks, @mathildepapillon.bsky.social, for hosting!
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
@ninamiolane.bsky.social and @louisacornelis.bsky.social will be speaking on 🧠Geometric Intelligence in Minds and Machines🤖
📅Friday, Feb 21st, 11am PST
Join us at UCSB (Elings,1605) or on Zoom!
@ninamiolane.bsky.social and @louisacornelis.bsky.social will be speaking on 🧠Geometric Intelligence in Minds and Machines🤖
📅Friday, Feb 21st, 11am PST
Join us at UCSB (Elings,1605) or on Zoom!
The WBHI advances healthcare for all by developing inclusive AI on multi-modal biomedical datasets that include phenotypes relevant to women's health.
The WBHI advances healthcare for all by developing inclusive AI on multi-modal biomedical datasets that include phenotypes relevant to women's health.
@mathildepapillon.bsky.social and co-authors 🙌👏
arxiv.org/pdf/2407.09468
@mathildepapillon.bsky.social and co-authors 🙌👏
arxiv.org/pdf/2407.09468