Hyperiax: Tree traversals using JAX https://t.co/Mo3ROHZrDH Developed by the team at @CCEM_ucph, initially for applications in phylogenetic analysis of morphological data, but Hyperiax has evolved into a general tree traversal, message passing and edge/node computation framework.

Neural Guided Diffusion Bridges https://t.co/c7Btf0PmiC w/ @gefanyang @MeulenFrank We introduce a new bridge simulation method that combines the guided proposals of @MeulenFrank and @MoritzSchauer with an additional correction drift term parametrized by a learnable neural

New version of our paper on parallel transport on matrix manifolds https://t.co/zMpb1CDhpz , to appear in SIMAX

Score Matching Riemannian Diffusion Means https://t.co/TKpTYvYKfd Score matching is applicable for learning the reverse dynamics of diffusion processes, for bridges etc., but also for fast computation of means on manifolds. By learning the score of the Riemannian Brownian motion,

Open phd-positions in my group, including computer vision for detection and segmentation in plant images

The space of compact sets in a metric space is a compact set for the Hausdorff metric. Hausdorff convergence is weak and does not preserve topology, dimension, length, or path-connectedness. It preserves connectedness and convexity. https://t.co/xZd3IUcnpO

I'll be hiring PhDs and postdocs in 2025 (and beyond) for two new research projects, MorphAI and DIGIFABA (at UCPH, funded by @novonordiskfond ) If you have a solid background in math/stats/cs (logical or, but depth is required), wish to join a growing research group in

The gradient field defines the steepest descent direction. The gradient flow dynamic defines a segmentation of the space into attraction basins of the local minimizers. https://t.co/qhnj2rCxn9 https://t.co/MtAm8oH0RK

Collection of insane and fun facts about SQLite. Let's go! SQLite is the most deployed and most used database. There are over one trillion (1000000000000 or a million million) SQLite databases in active use. It is maintained by three people. They don't allow outside

Interested in a post-doc position in theoretical computer science? Want to find out why they call it "Wonderful Copenhagen"? Look here! Application deadline January 10. Hiring in multiple areas including geometry, complexity, learning, and privacy. https://t.co/XQFeZOzbKK

Gradient descent on particles’ positions (Lagrangian) is equivalent to an advection linear PDE on the density of particles (Eulerian). https://t.co/lHYMjNg6P1

Check out the ELLIS Pre-NeurIPS Fest event today in... 🇩🇰 Copenhagen! ELLIS Unit Copenhagen @elliscph is holding their event at @AiCentreDK showcasing #NeurIPS posters and other Denmark-affiliated papers in #AI and #ML. More info:

Intervista con mio fratello @Alex__Bronstein riguarda l'episodio obbrobrioso a Cagliari. Il silenzio dell @univca ufficiale e' pure una vergogna. https://t.co/ePbCb0hHYc

The president of the National Academy of Sciences, Marcia McNutt, has published welcome an essay promising to remain politically neutral and mitigate the political polarization of science. Some notable quotes from the article: "[S]cientists need to better explain the norms and

Shape evolution…. We knew it @stefanhsommer

Kalman filter defines recursively an estimator of the parameters of a Gaussian dynamical process. The basic method to control navigation systems. https://t.co/Bnv9YNG4pL

I am recruiting PhD students for 2025!😃 You want to reveal the geometric signatures of natural and artificial intelligence, and unlock the mysteries of the brain?🤖🧠 Apply to the UCSB Geometric Intelligence Lab✨ This is the view you'd have from... well, your desk🌴

Looking forward to this seminar by @trevordarrell @berkeley_ai next week!

Oldies but goldies: Sathamangalam Srinivasa Varadhan, On the behavior of the fundamental solution of the heat equation with variable coefficients, 1967. Shows that the heat kernel on a manifold is approximately a geodesic Gaussian kernel for a small time. https://t.co/6GXNtW1qkA

Thorben Pieper-Sethmacher, Frank van der Meulen, Aad van der Vaart: On a class of exponential changes of measure for stochastic PDEs https://t.co/zer93u1Eeo

Super excited to be teaching (1/3rd) the Advanced Topics in #DeepLearning course with @stefanhsommer, and two other teachers, with a focus on graph neural networks. Emergency alarm went off in the building after my first slide. That must be a good omen. No? 😅