More info here: www.aps.org/about/news/2...

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@apsphysics.bsky.social is soon launching a highly-selective journal where AI & physics research will be reviewed by domain experts (i.e. not random ML conference reviewers). I believe this will be an important venue for impactful work in this field, and I'm excited to serve as an associate editor 🙂

📢 𝐆𝐫𝐚𝐝 𝐚𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐬 𝐨𝐩𝐞𝐧, 𝐞𝐚𝐫𝐥𝐢𝐞𝐫 𝐝𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐭𝐡𝐢𝐬 𝐲𝐞𝐚𝐫!

Physics at 𝐆𝐞𝐨𝐫𝐠𝐢𝐚 𝐓𝐞𝐜𝐡 is accepting applications.

𝐌𝐲 𝐠𝐫𝐨𝐮𝐩 𝐨𝐧 𝐀𝐈 ∩ 𝐩𝐡𝐲𝐬𝐢𝐜𝐬 𝐢𝐬 𝐠𝐫𝐨𝐰𝐢𝐧𝐠! So if you know students interested in 𝐟𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥 𝐩𝐡𝐲𝐬𝐢𝐜𝐬 𝐨𝐫 𝐚𝐬𝐭𝐫𝐨, please share this.


🗓️ Deadline: 𝐃𝐞𝐜𝐞𝐦𝐛𝐞𝐫 𝟏𝟓


🔗 physics.gatech.edu/academics/gr...

Amazing news! 🙌🏻 🎉

Really proud of this project led by @kylecranmer.bsky.social and created alongside these awesome collaborators and friends. I believe this is important work that will help researchers make grounded decisions when building multimodal models with many diverse inputs. Add it to your paper pile!

I’ve heard some student requests for a Discord channel! But I still use Slack for everything so far ☺️

Reviewer form - ML4PS @ NeurIPS 2025 Please fill this form to express your interest in becoming a reviewer for our workshop. The review period will likely be September 2 to September 19. As a reviewer you can express the number of papers...

The #ML4PS2025 workshop received 40% more submissions than last year! To help ensure all papers are reviewed fairly, we are still seeking some extra emergency reviewers. If you have capacity to review a couple cutting-edge 4-page papers over the next 2 weeks, sign up here:

Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation.

We got lost in latent space. Join us 👇

Call for Papers is out for the NeurIPS 2025 Workshop on ML & the Physical Sciences!

Submit your 4-page papers on new directions in ML & physics by Friday, August 29th 🌌 💻 ⚛️ #ML4PS #ML4PS2025 ml4physicalsciences.github.io

ouroborosly

Great talk by @annalenakofler.bsky.social
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics

ml4physicalsciences.github.io/2024/files/N...

A wide range of insightful and inspiring talks today at #ML4PS @neuripsconf.bsky.social , including @yasamanbb.bsky.social , Thea Aarrestad, and @annalenakofler.bsky.social

Some highlights from a really compelling overview talk by @lukasheinrich.com this morning at #ML4PS at @neuripsconf.bsky.social -- reflecting on the future of ML for physics, including the importance of multi-modality and when/how to impose our scientific intuitions onto our models.

Really looking forward to these!

🧵 Today with @polymathicai.bsky.social and others we're releasing two massive datasets that span dozens of fields - from bacterial growth to supernova!

We want this to enable multi-disciplinary foundation model research.