Alison Pouplin
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alisometry.bsky.social
Alison Pouplin
@alisometry.bsky.social
ML Research scientist. Interested in geometry, information theory and statistics 🧬

Opinions are my own. :)
Submit your work, then join us @iclr-conf.bsky.social in Rio! 😀☀️
📢The second edition of ✨GRaM workshop✨ is here this time at #ICLR26.

🌟Submit your exciting works in Geometry-grounded representations.

We welcome submissions in multiple tracks i.e.
📄 Proceedings
📝extended abstract
👩‍🏫Tutorial/blogpost
as well as an exciting challenge!
December 18, 2025 at 12:20 PM
Reposted by Alison Pouplin
It is hard to believe but it is already more than a week since we were all in Copenhagen for #EurIPS. It was a truly awesome event❄️
EurIPS 2026: Call for Expressions of Interest & Venue Proposals | European Laboratory for Learning and Intelligent Systems
ellis.eu
December 16, 2025 at 12:39 PM
Martin is a kind PI with tons of ideas. (PhD students: the PI matters more than the project, and Martin is the one you want.)

Now, go update your CV and send it! ✨💪
10 days left to apply for a PhD/PostDoc position in probabilistic machine learning together with me at @kthuniversity.bsky.social.

Both positions are fully funded and part of WASP, the Swedish AI program!

For details, see the links below.
PhD: tinyurl.com/4bppbste
PostDoc: tinyurl.com/2tasv6bd
KTH | Doctoral student in Probabilistic Machine Learning
KTH jobs is where you search for jobs at www.kth.se.
www.kth.se
December 9, 2025 at 8:20 PM
Reposted by Alison Pouplin
If you want to meet up at any point to talk about

-> physics-informed ML, autodiff, linear algebra, Bayesian DL, or probabilistic numerics,

just let me know. Always happy to talk research, collaboration, (jobs!), or just grab a coffee/beer.

Looking forward to seeing everyone in Copenhagen! 🇩🇰
November 27, 2025 at 11:00 AM
Reposted by Alison Pouplin
I am hiring a PhD & postdoc to work together with me at KTH on probabilistic machine learning. Both positions are fully funded and part of WASP.

I will be attending @euripsconf.bsky.social, if you are around and want to talk about the positions or what we do at KTH, then ping me and we can meet.
November 23, 2025 at 11:39 AM
Reposted by Alison Pouplin
“Dear mathematician, can you explain to me what mass is?”

“Very simple, dear: the mass of a dynamical system is the cohomology class of the Galilean group representing lack of equivariance of the moment map on the symplectic manifold that is the phase space of the system.”
November 10, 2025 at 1:40 PM
Reposted by Alison Pouplin
Some entertaining myth-making (from mathoverflow.net/a/491227/121...):
April 17, 2025 at 8:25 PM
Reposted by Alison Pouplin
Four Tenure-track positions in AI exclusively for female applicants at @jkulinz.bsky.social! Details available soon at www.jku.at/en/lit-artif...
Precall: Four tenure-track professorships
www.jku.at
April 7, 2025 at 6:51 AM
Reposted by Alison Pouplin
So far, 2,135 people have responded to the poll Søren and I posted a few days ago. Of those, 94.4% replied “Yes” to being interested in officially presenting accepted @neuripsconf.bsky.social papers in Europe. (1/7)
April 3, 2025 at 11:03 AM
Reposted by Alison Pouplin
Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)
NeurIPS participation in Europe
We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...
docs.google.com
March 30, 2025 at 6:04 PM
Reposted by Alison Pouplin
🌟Applications open- LOGML 2025🌟

👥Mentor-led projects, expert talks, tutorials, socials, and a networking night
✍️Application form: logml.ai
🔬Projects: www.logml.ai/projects.html
📅Apply by 6th April 2025
✉️Questions? [email protected]

#MachineLearning #SummerSchool #LOGML #Geometry
LOGML 2025
London Geometry and Machine Learning Summer School, July 7-11 2025
logml.ai
March 11, 2025 at 3:25 PM
Reposted by Alison Pouplin
Super happy to share our work was accepted as an Oral at the Delta Workshop @ ICLR 2025! 🎉

Can’t wait to talk about it in Singapore 😎

Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥
Variational Flow Matching goes Riemannian! 🔮

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
March 6, 2025 at 2:03 PM
Reposted by Alison Pouplin
Since she was in graduate school, Laura Monk has been developing mathematical theories that Maryam Mirzakhani didn’t have a chance to finish before her death. Monk feels she’s gotten to know the mathematician through her proofs. www.quantamagazine.org/years-after-...
March 3, 2025 at 3:38 PM
Reposted by Alison Pouplin
Are interested in making #computervision models more #reliable and #robust by accounting for #uncertainties?

Then consider submitting your awesome work to our @cvprconference.bsky.social workshop!

uncertainty-cv.github.io/2025/
UNCV Workshop @ CVPR 2025
CVPR 2025 Workshop on Uncertainty Quantification for Computer Vision.
uncertainty-cv.github.io
February 20, 2025 at 4:18 PM
Reposted by Alison Pouplin
Variational Flow Matching goes Riemannian! 🔮

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
February 19, 2025 at 3:13 PM
Reposted by Alison Pouplin
Is the universe a sphere, like the surface of Earth? Or maybe it’s shaped like a doughnut? Cosmologists believe that these possibilities could leave clues in the sky. New methods could help find them. https://buff.ly/3PTCOTo
January 28, 2025 at 9:55 PM
Reposted by Alison Pouplin
The Mathematics of Artificial Intelligence: In this introductory and highly subjective survey, aimed at a general mathematical audience, I showcase some key theoretical concepts underlying recent advancements in machine learning. arxiv.org/abs/2501.10465
January 22, 2025 at 9:11 AM