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did you know you've been doing test-time learning this whole time? transformers, SSMs, RNNs, are all test-time regressors but with different design choices we present a unifying framework that derives sequence layers (and higher-order attention👀) from a *single* equation 🧵

Excited to share that our latest research on parallelizing nonlinear RNNS is being featured on the arXiv discussion forum alphaXiv. I will be on alphaXiv to answer any questions you have on the paper. alphaxiv.org/abs/2407.19115

tomorrow at 10:30 pst/1:30 est i’ll be talking at the first ASAP seminar organized by Songlin Yang @ ICML '25 Simran Arora Xinyu Yang✈️ ICML 2025 Han Guo! i’ll present recent work on a unifying framework for current sequence models like mamba, attention, etc it’s all online so come thru!

Recording: youtu.be/C7KnW8VFp4U Slides: asap-seminar.github.io/assets/slides/… If you're interested in this seminar series, please subscribe to our mailing list: groups.google.com/g/asap_seminar and join our Discord channel: discord.com/invite/vDaJTmK…

This is an amazing class, a great way to learn cutting edge generative models like diffusion. And comes with a beautiful set of course notes diffusion.csail.mit.edu/docs/lecture-n… Tons of thanks to Peter Holderrieth for creating this super helpful resource!

An incredible feature. The blog post it made for my paper "Towards Scalable and Stable Parallelization of nonlinear RNNs" was in some ways better than the blog post I put a lot of time into making! alphaxiv.org/overview/2407.… lindermanlab.github.io/hackathons/

Can anyone explain to me why this behavior of anonymous functions makes sense in python? I really don't understand the logic...

My grand theory of life is to just hammer the shit out of quadrant 4

Xavier Gonzalez NeurIPS Conference I second this call🙌

Xavier Gonzalez NeurIPS Conference Second this. No point in separate deadlines. They do more damage than good.

Xavier Gonzalez NeurIPS Conference True this. Honestly, what is there to gain from having two deadlines a week apart? No reviewer action happens during that week, and we already know we'll be facing the heaviest submission load, where most reviewers are likely to max out. So having two separate PDFs (or worse, a

Such a cool series of talks for academic year 25-26

I'm interning this summer at Apple doing machine learning research! I'll be in Seattle---would love to meet up with you if you are in town! Please reach out!

LLMs can generate 100 answers, but which one is right? Check out our latest work closing the generation-verification gap by aggregating weak verifiers and distilling them into a compact 400M model. If this direction is exciting to you, we’d love to connect.

I asked ChatGPT (o3-pro) what the most unbelievable things it's learned about humans since being created was I find no-5 and the last one (meta-surprise) quite funny 🧵 Read on 👇 1. Simultaneous brilliance and self‑sabotage Humans can design spacecraft that navigate billions

We are excited to release our first open-weight LFM models, optimized for on-device deployments. Extremely proud of the entire team! Check them out here: huggingface.co/LiquidAI

Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper formalizes these questions One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵

Finally, a dev kit for designing on-device, mobile AI apps is here: Liquid AI's LEAP venturebeat.com/business/final…