Pascal Mettes
@pascalmettes.bsky.social
160 followers 140 following 10 posts
Assistant Professor, University of Amsterdam Hyperbolic deep learning
Posts Media Videos Starter Packs
Reposted by Pascal Mettes
nldlconference.bsky.social
We are thrilled to welcome Aiden Durrant as a Winter School speaker at NLDL 2026 🤖 ❄️

His tutorial will give you an understanding of the rationale behind non-Euclidean methods and prepare you to explore them for your own research problems.

More info in the comments 👇
pascalmettes.bsky.social
Sure, but now it is used to compare people and reduce careers to 3 numbers. My strong preference would be to have a qualitative google scholar, where only the top X (5, 10, ?) papers can be highlighted by the author. The rest of the papers are in a list but don't contribute to an aggregate number.
Reposted by Pascal Mettes
dimadamen.bsky.social
Many thanks @pascalmettes.bsky.social @ellisamsterdam.bsky.social for visiting us @bristoluni.bsky.social to examine (now Dr) Adriano Fragomeni (supervised by myself and Michael Wray) and give a great talk on hyperbolic deep learning. Enjoyed your visit
pascalmettes.bsky.social
We are back at #ICCV2025 for the second workshop on Hyperbolic and Hyperspherical Learning for Computer Vision.

We will have 2 tracks: one for new research (to be published in proceedings) and one for recently published works.

Deadline: June 1st
Link: sites.google.com/view/beyonde...
Beyond Euclidean - Call for Papers
Important Dates: Submission Portal Opens: 29th of April 2025 Submission Deadline: 1st of June 2025 (AOE) Preliminary Author Notification Deadline: 27th of June 2025 Camera-ready deadline (Proceeding...
sites.google.com
pascalmettes.bsky.social
Today I will give a keynote on "Hyperbolic Visual Understanding" at the Non-Euclidean Foundation Models and Geometric Learning (NEGEL) workshop at the Web Conference in Sydney.

If you are at #WWW2025 and want to discuss hyperbolic learning, I'm around all week!
pascalmettes.bsky.social
Great to see you all at #ICLR2025, it was fun discussing our works on hyperbolic vision-language models, a better way to do object detection, and brain-aligned image generation.

See you at the next one!
pascalmettes.bsky.social
I am very excited to present at the Pattern Recognition and Computer Vision Colloquium at CTU Prague. I will be there Wednesday afternoon and Friday morning as well if you are around and want to discuss hyperbolic learning!
gtolias.bsky.social
The Visual Recognition Group at CTU in Prague organizes the 49th Pattern Recognition and Computer Vision Colloquium with D. Karatzas, M. Masana, T. Tommasi, P. Mettes @pascalmettes.bsky.social , E. Brachmann @ericbrachmann.bsky.social and V. Stojnic @stojnicv.xyz

cmp.felk.cvut.cz/colloquium/#...
pascalmettes.bsky.social
This is long overdue and there seems to be no valid reason to host CVPR in North America only. Is it because of funding sources? Either way, time to overhaul the setup, please let me know if you need help with the motion.
Reposted by Pascal Mettes
davidpicard.bsky.social
Who's up for writing a CVF motion proposing to vary the location of CVPR?

It being forever in the US, with the concerning (euphemism) situation there, is a recipe for losing this amazing community.
But even without the current events, it should have been done ages ago.
pascalmettes.bsky.social
Vision-language models are hierarchical and asymmetrical, hence all models benefit from hyperbolic embeddings.

Our new #ICLR2025 oral paper shows how image-box compositions create cool new hierarchies and powerful vision-language models when used during training!

Link: arxiv.org/abs/2410.06912
pascalmettes.bsky.social
Wow, great news! Many congratulations.
Reposted by Pascal Mettes
galasso.bsky.social
"Compositional Entailment Learning for Hyperbolic Vision-Language Models" #ICLR25

With: Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, and @pascalmettes.bsky.social

Paper: arxiv.org/abs/2410.06912
pascalmettes.bsky.social
Hyperbolic learning is growing rapidly by the day. From weekly alerts in 2023 to daily digests in 2024!

From our current research, it is clear that 2025 will be a huge year for hyperbolic learning research.

I had an interview to elaborate our research:
shorturl.at/CQD53
A deep dive into mathematics for more accurate AI
Deep learning networks underpin many of today's AI applications, such as image recognition. Those networks can still fail massively when they need to name an object, such as an animal. According to Uv...
shorturl.at