Two weeks left to apply to the M2L school! Lots of lectures, tutorials, great speakers, and much more! Apply here: forms.gle/HLrmzDMQ3tExRk… All info at m2lschool.org

Last few days to sign up to the M2L summer school!Remember, this year it will be free for all students thanks to our amazing sponsors! Apply at wwww.m2lschool.org! #AI #ML #RL #deeplearning #machinelearning #M2Lschool 1/2

We are pleased to announce the first set of speakers. Thanks to @ChrisBishopMSFT, Mihaela van der Schaar, Amanda Prorok, Aidan Clark, Luba Elliott @ NeurIPS2025, Mihaela Rosca, Amy Zhang, Luisa Zintgraf. If you haven’t done it yet, apply at: forms.gle/HLrmzDMQ3tExRk… #AI #ML #RL #M2Lschool

New paper! Language and large foundation models come together to drive semantically meaningful exploration. This idea helps RL agents learn faster in 3D environments, even when language annotations are unavailable (arxiv.org/abs/2204.05080) Read on 🔎⬇️

I’m very happy to present this work that has been accepted as spotlight paper at ICLR. Train large models in RL will be critical to learn better value functions, we are proposing a way to make this learning more efficient in terms of data. Check it out!

Announcing the 1st Dynamic Neural Networks (DyNN) workshop, a hybrid event ICML Conference 2022! 👇 We hope DyNN can promote discussions on innovative neural networks that can deal with dynamic computations. Want to learn more? dynn-icml2022.github.io

After 2.5+ years of pandemic, I will attend my first in-person meeting in September! m2lschool.org So glad to meet people again! :) Thanks Andrea Banino and the organizers for the invitation.

That’s on again!sign-up if you want to have the opportunity to learn the most recent breakthroughs in ML!bonus: this time is by the sea 🌊🏄‍♂️

Google announces Synth^2 Boosting Visual-Language Models with Synthetic Captions and Image Embeddings The creation of high-quality human-labeled image-caption datasets presents a significant bottleneck in the development of Visual-Language Models (VLMs). We propose a novel

🚀 Excited to share our latest work Google DeepMind: "Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings" 🧵 #VLM #Synthetic #AI arxiv.org/abs/2403.07750