Mariel Pettee
@marielpettee.bsky.social
Asst. Professor of Physics at @uwmadison.bsky.social, AI for science researcher, performing artist/creative technologist.
Reposted by Mariel Pettee
📢 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 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...
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...
physics.gatech.edu
November 11, 2025 at 4:55 PM
📢 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 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...
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!
New paper, with @rkhashmani.me @marielpettee.bsky.social @garrettmerz.bsky.social Hellen Qu. We introduce a framework for generating realistic, highly multimodal datasets with explicitly calculable mutual information. This is helpful for studying self-supervised learning
arxiv.org/abs/2510.21686
arxiv.org/abs/2510.21686
October 28, 2025 at 8:13 PM
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!
Reposted by Mariel Pettee
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 👇
We got lost in latent space. Join us 👇
September 3, 2025 at 1:40 PM
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 👇
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
Submit your 4-page papers on new directions in ML & physics by Friday, August 29th 🌌 💻 ⚛️ #ML4PS #ML4PS2025 ml4physicalsciences.github.io
July 29, 2025 at 7:20 PM
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
Submit your 4-page papers on new directions in ML & physics by Friday, August 29th 🌌 💻 ⚛️ #ML4PS #ML4PS2025 ml4physicalsciences.github.io
Reposted by Mariel Pettee
Reposted by Mariel Pettee
Great talk by @annalenakofler.bsky.social
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
ml4physicalsciences.github.io/2024/files/N...
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
ml4physicalsciences.github.io/2024/files/N...
December 15, 2024 at 11:00 PM
Great talk by @annalenakofler.bsky.social
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
ml4physicalsciences.github.io/2024/files/N...
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
December 16, 2024 at 12:25 AM
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.
December 16, 2024 at 12:16 AM
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!
The papers and posters for our Machine Learning and Physical Sciences workshop at #NeurIPS2024 are online #ml4ps2024. Come check it out on Sunday
ml4physicalsciences.github.io/2024/
ml4physicalsciences.github.io/2024/
December 12, 2024 at 6:22 AM
Really looking forward to these!
Reposted by Mariel Pettee
🧵 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.
We want this to enable multi-disciplinary foundation model research.
December 2, 2024 at 7:46 PM
🧵 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.
We want this to enable multi-disciplinary foundation model research.