Opinions are my own. :)
🌟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!
Now, go update your CV and send it! ✨💪
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
Now, go update your CV and send it! ✨💪
-> 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! 🇩🇰
-> 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! 🇩🇰
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.
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.
“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.”
“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.”
👥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
👥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
Can’t wait to talk about it in Singapore 😎
Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥
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
Can’t wait to talk about it in Singapore 😎
Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥
Then consider submitting your awesome work to our @cvprconference.bsky.social workshop!
uncertainty-cv.github.io/2025/
Then consider submitting your awesome work to our @cvprconference.bsky.social workshop!
uncertainty-cv.github.io/2025/
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