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Mariel Pettee

@marielpettee.bsky.social
140 followers 164 following 10 posts

Asst. Professor of Physics ‪at @uwmadison.bsky.social, AI for science researcher, performing artist/creative technologist.

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Reposted by Mariel Pettee
UW–Madison Data Science Institute @uwdsi.bsky.social · 22/07/2026
UW–Madison will receive 5 Phase I Genesis Mission awards from the Department of Energy addressing urgent energy, scientific, and engineering challenges with AI and advanced computing. @uwmadison.bsky.social earned more awards than any other public university in the US. news.wisc.edu/5-projects-a...
news.wisc.edu
5 projects at UW–Madison aimed at transforming science and energy with AI receive DOE Genesis Mission funding
The projects, spanning fusion to critical minerals, are among 278 funded awards to national labs, companies, universities and non-profits in order to accelerate breakthroughs in energy, scientific dis...
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Mariel Pettee @marielpettee.bsky.social · 01/12/2025
@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 🙂
Banner image for PRX Intelligence from APS
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Reposted by Mariel Pettee
Aishik Ghosh @aishikghosh.bsky.social · 11/11/2025
📢 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...
physics.gatech.edu
Admissions Information
Prospective physics graduate students are welcome to contact faculty members to inquire about their research program. However, individual faculty members cannot accept students into the graduate progr...
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Mariel Pettee @marielpettee.bsky.social · 28/10/2025
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!
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Reposted by Mariel Pettee
François Rozet @francois-rozet.bsky.social · 03/09/2025
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 👇
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Mariel Pettee @marielpettee.bsky.social · 29/07/2025
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
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Reposted by Mariel Pettee
New New York Times @nyt-first-said.bsky.social · 02/01/2025
ouroborosly
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Kyle Cranmer @kylecranmer.bsky.social · 15/12/2024
Great talk by @annalenakofler.bsky.social Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics ml4physicalsciences.github.io/2024/files/N...
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Mariel Pettee @marielpettee.bsky.social · 16/12/2024
A wide range of insightful and inspiring talks today at #ML4PS @neuripsconf.bsky.social , including @yasamanbb.bsky.social , Thea Aarrestad, and @annalenakofler.bsky.social
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Mariel Pettee @marielpettee.bsky.social · 16/12/2024
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.
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Mariel Pettee @marielpettee.bsky.social · 12/12/2024
Really looking forward to these!
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Reposted by Mariel Pettee
Miles Cranmer @milescranmer.bsky.social · 02/12/2024
🧵 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.
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