RT @KevinHanHuang1: Missing ICML due to visa :'(, but looking forward to share our ICML paper ( as a poster at #Bay….

RT @PrincetonCS: Congrats to Kai Li on being named a member of the American Academy of Arts & Sciences! 🎉. Li joined @Princeton in 1986 and….

RT @Miles_Brundage: Not sure why the gutting of American science funding isn’t a bigger story. No one voted for it, it reduces American i….

RT @EdwardTufte: No.

RT @WKCosmo: You need to understand both General Relativity and Hubble expansion to correctly engineer Global Positioning System, which is….

RT @CVPR: #CVPR2025 Area Chairs (ACs) identified a number of highly irresponsible reviewers, those who either abandoned the review process….

RT @sedielem: Since adaptive tokenisation is trendy these days, this paper from a decade ago (an absolute eternity in DL ⌛️) is worth revis….

RT @Princeton: #PrincetonU has launched AI for Accelerating Invention. Led by professors @MengdiWang10 and @ryan_p_adams, the AI^2 initiati….

We are looking for AI Postdoctoral Fellows! Be a part of AI for Accelerating Invention, a new research initiative out of the Princeton AI Lab. You can learn about AI for Accelerating Invention here: and apply for the postdoc here:

RT @NobelPrize: BREAKING NEWS.The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfiel….

@Wikipedia @GatsbyUCL I don't think it's a controversial page:

I find it strange that there's no @Wikipedia page for @GatsbyUCL, despite its huge influence on ML/AI/CompNeuro. I've tried twice to create a basic one and gotten rejected both times for "lack of reliable sources".

RT @NMcGreivy: Our new paper in @NatMachIntell tells a story about how, and why, ML methods for solving PDEs do not work as well as adverti….

RT @dianarycai: Our recent work on developing a "physics aware" (or convex hull aware) active search method to more efficiently discover st….

RT @ZhongingAlong: Excited to share CryoBench🧊🪑 our dataset and benchmarking effort for heterogeneous cryo-EM reconstruction!. Led by @Mink….

RT @pfau: We are about one election cycle away from prediction markets being manipulated by state actors in the way social media was in 201….

RT @su_lin_liu: Excited to present Generative Marginalization Models (MAMs) at #ICML2024!. MAM trains a neural network for fast estimation….

This setup then inherits guarantees from classic results on optimization under partial asynchrony. It also turns out to be a useful graph neural network architecture even outside the asynchronous setting. I'm really excited about this work!. 4/4.

To fix this, Olga Solodova has led a project on “Graph Neural Networks Gone Hogwild” (h/t @beenwrekt), studying this effect and proposing a solution. This work introduces an architecture in which the GNN minimizes a separable convex function. 3/4.

The asynchrony effectively alters the architecture at inference time. 2/4