Andrey Gromov (@andr3ygr) 's Twitter Profile
Andrey Gromov

@andr3ygr

Meta FAIR Research Scientist & physics professor at University of Maryland, College Park

ID: 51504491

calendar_today27-06-2009 17:55:02

36 Tweet

133 Followers

200 Following

Brian Skinner (@gravity_levity) 's Twitter Profile Photo

I talked with Alexey Guzey yesterday and he said "I'm thinking about doing a PhD in Physics but I'm worried it will make me stupid" and tbh he has a point

François Charton (@f_charton) 's Twitter Profile Photo

Looking for a postdoctorate student to work with me on applying transformers to open problems in mathematics and theoretical physics. This is an 18 month position, based in Paris. DM me if interested. metacareers.com/jobs/771404296…

The Nobel Prize (@nobelprize) 's Twitter Profile Photo

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Maissam Barkeshli (@mbarkeshli) 's Twitter Profile Photo

The Nobel Committee recognizes profound contributions from Physics to ML / AI. There's a lot more where that came from. We are in an era where an increasing number of physicists are making important contributions to ML / AI, and even more are needed going forward.

Maissam Barkeshli (@mbarkeshli) 's Twitter Profile Photo

John Hopfield has a nice article in the annual reviews of condensed matter physics. It starts off with a discussion of what physics is, which I think is totally on point.

John Hopfield has a nice article in the annual reviews of condensed matter physics. It starts off with a discussion of what physics is, which I think is totally on point.
Yuandong Tian (@tydsh) 's Twitter Profile Photo

Our new work Spectral Journey arxiv.org/abs/2502.08794 shows a surprising finding: when a 2-layer Transformer is learned to predict the shortest path of a given graph, 1️⃣it first implicitly computes the spectral embedding for each edge, i.e. eigenvectors of Normalized Graph