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This math is mathing.

I love research because it combines my two favorite things: sitting and anxiety

Whoever said fall is an east coast thing

academics rn

Did you know that you can parallelize *nonlinear* RNNs over their sequence length!? Our NeurIPS Conference paper "Towards Scalable and Stable Parallelization of nonlinear RNNs," which introduces quasi-DEER and ELK to parallelize ever larger and richer dynamical systems! 🧵 [1/11]

Presenting today NeurIPS Conference Poster #3506 East exhibit halls A-C 4:30p!

How can we use small LLMs to shift more AI workloads onto our laptops and phones? In our paper and open-source code, we pair on-device LLMs (ollama) with frontier LLMs in the cloud (@openai, @together), to solve token-intensive workloads on your 💻 at 17.5% of the cloud cost

We're probably a little too obsessed with zero-shot retrieval. If you have documents (you do), then you can generate synthetic data, and finetune your embedding. Blog post lead by Jacob Portes shows how well this works in practice. databricks.com/blog/improving…

Excited to share work co-led with Aditi Jha developing a data-driven selection technique for overlapping community detection algorithms, applied to the human structural connectome! biorxiv.org/content/10.110…

Excited to share our JOSS paper (joss.theoj.org/papers/10.2110…) and code (github.com/probml/dynamax)! Special thanks to our reviewers — Dynamax v1.0 is much improved thanks to their feedback!