🚨🚨📄 Check out our new preprint! Our results reveal novel insights on how continuous visual input is integrated in the human brain💡, beyond the standard temporal processing hierarchy from low to high-level representations

📢 New preprint, together with @sargechris.bsky.social! Building on @sargechris.bsky.social's previous work, we benchmark 100+ image and video models 🤖 on brain representational alignment, this time to EEG data of humans 🧠 watching videos! 🧵⬇️ www.biorxiv.org/content/10.1...

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 👇

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

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...

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!

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!

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!

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.

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

"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

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