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Our fantastic #MachineLearningScienceandTechnology editor-in-chief @kylecranmer.bsky.social giving a shout out to our collaboration with the #ML4PS workshop at #NeurIPS2025 @iopp-mlresearch.bsky.social Thank you, Kyle! 🥳 #machinelearning #chemistry #physics

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#MachineLearningScienceandTechnology paper being a spotlight at the #ML4PS workshop at #NeurIPS2025
‘Continual learning for particle accelerators’

iopscience.iop.org/article/10.1...

@iopp-mlresearch.bsky.social

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Are you interested in ML for space/plasma physics? I'll be presenting “Graph-based Neural Space Weather Forecasting” this Saturday at the ML for physics workshop in San Diego @neuripsconf.bsky.social 🚀

📄 Paper: arxiv.org/abs/2509.19605
💻 Code: github.com/fmihpc/space...

#AI4Science #ML4PS

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At the #ML4PS workshop, @gandry.bsky.social and @sachalewin.bsky.social will present Appa, our large weather model for global data assimilation. Appa differs from other weather models in that it can do reanalysis, nowcasting and forecasting within the same framework. arxiv.org/abs/2504.18720

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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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GitHub - Ciela-Institute/PQM: Implemenation of PQMass from Lemos et al. 2024 Implemenation of PQMass from Lemos et al. 2024. Contribute to Ciela-Institute/PQM development by creating an account on GitHub.

thanks to @smsharma.bsky.social @marielpettee.bsky.social and many others for this inspiring #ML4PS workshop @neuripsconf.bsky.social today.
It was extremely fun and I learned a lot. Got new toys to play around with ...
github.com/Ciela-Instit...

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Had a wonderful time presenting our two posters on tomographic SAR for forest height prediction and tree species classification at #ML4PS and #CCAI workshops at NeurIPS

This work was completed as part of an internship at FDL, working on a project proposed by ESA to support the Biomass Satellite

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A picture of my badge, showing my name and my ‘affiliation’, from the NeurIPS 2024 conference

A picture of my badge, showing my name and my ‘affiliation’, from the NeurIPS 2024 conference

Had a blast at the @neuripsconf.bsky.social, and couldn’t have ended on a higher note than the #ML4PS workshop! Thank you to the organizers, presenters, reviewers, and sponsors. It is a honor and a pleasure to interact with you! Until next time 🥳

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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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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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Time for selfies at the #ML4PS workshop! @kylecranmer.bsky.social @olexandr.bsky.social @Sascha (who is not on BlueSky?)

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So proud of my team member! We won the reproducibility award at the #ML4PS workshop of @neuripsconf.bsky.social !! @helmholtzai.bsky.social

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Borrowing @profvlilienfeld.bsky.social’s signature saying, I am super pumped to be at the #ML4PS workshop representing #MachineLearningScienceandTechnology So many contributions this year!!! Check out the focus collection associated with the workshop iopscience.iop.org/collections/...

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Excited to be there! Reach out if you want to have a chat about #MachineLearningScienceandTechnology (MLST), #IOPPublishing or anything else 😁 Also, check out the #ML4PS focus collection in the MLST journal here if you want an 'appetizer' iopscience.iop.org/collections/...

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Scientific poster with dark-blue background. Title: Flow Annealed Importance Sampling Bootstrap meets differentiable particle physics. The poster contains multiple sections: Generation of data in particle physics, normalizing flows, training approaches, and results for a 2D distribution (lambda_c^+ decay) and a 8D distribution (top production). Additionally, results for the efficiency over the number of target evaluations are shown.

Scientific poster with dark-blue background. Title: Flow Annealed Importance Sampling Bootstrap meets differentiable particle physics. The poster contains multiple sections: Generation of data in particle physics, normalizing flows, training approaches, and results for a 2D distribution (lambda_c^+ decay) and a 8D distribution (top production). Additionally, results for the efficiency over the number of target evaluations are shown.

1/ 🚀 New Paper Alert: Spotlight at NeurIPS ML and the Physical Sciences Workshop!
We explore the intersection of high-energy physics and machine learning. What's the challenge we’re targeting, and why does it matter? Let's dive in! 🧵👇
🚀 #AI #MachineLearning #Physics #ML4PS #NeurIPS #AcademicSky

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