🚨 Survey Alert 🚨 Our paper "Back to recurrent processing at the crossroad of transformers and state-space models" is out in Nature Machine Intelligence! 🔗 www.nature.com/articles/s42... Read it here: rdcu.be/el85K #Mamba #SSMs #Transformers #LLMs

@collasconf.bsky.social The #CoLLAs 2024 proceedings of our paper "Memory Head for Pre-Trained Backbones in Continual Learning" are out: proceedings.mlr.press/v274/tiezzi2... Video: lifelong-ml.cc/Conferences/... 🖥 Memory Head Code repository: github.com/sailab-code/... A thread🧵

🌟 Best of Both Worlds! ❓Have you ever wondered why hybrid models (RNN + Transformers) are powerful? We answer this through the lens of circuit complexity and graphs! Excited to share our work on understanding Graph Sequence Models (GSM), which allows the use of any sequence model for graphs.

🐱 Learning Over Time (LOT) Spring School 📅 24-27 March 2025 | 📍 Siena, Italy 💡 Are you considering models that continuously adapt over time instead of learning "offline" from pre-designed-huge collections of data? 🚀 🔗 sites.google.com/unisi.it/lot... #ContinualLearning #CL #LifelongLearning

🌟 GLOW is coming back in December with amazing speakers: Emily Jin and @joshsouthern.bsky.social ! 🗓️ Dec 18th @ 17 CET on Zoom, don't miss that! 🌐 Find more here: sites.google.com/view/graph-l...

Join this year's last edition of Graph Learning on Wednesdays (GLOW) tomorrow at 5pm CET!

Here is an initial starter pack list on Machine Learning on Graphs: go.bsky.app/HN2MTzp

Starter pack for people in Lifelong and Continual Learning ✍️

@logconference.bsky.social #LOG meetup with @federico-errica.bsky.social open talk on "What is going on with oversmoothing, oversquashing, and underreaching?"

Wonderful location for the Siena #LoG meetup's poster session🤩

#LOG2024 Franco Scarselli kicking off the Learning on Graphs (LOG) Italian Meetup!!!