Salva Rühling Cachay

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Salva Rühling Cachay

Salva Rühling Cachay

@salvaRC7

PhD student @ucsd_cse & intern @nvidia. Into AI for Science, especially climate&weather. Prev: @allen_ai @PARCinc @Mila_quebec @CMU @TUDarmstadt

San Diego Katılım Mayıs 2021
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Salva Rühling Cachay
Salva Rühling Cachay@salvaRC7·
Sharing a blog post about our #Neurips2023 paper "DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting" salvarc.github.io/blog/2023/dyff… It's faster than standard diffusion models, has low memory needs, and generates stable & probabilistic rollout forecasts. 1/7
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Salva Rühling Cachay
Salva Rühling Cachay@salvaRC7·
NeurIPS poster session tomorrow morning!⚡️ Come say hi if you are interested in diffusion/AI4Science/PDEs/weather/etc. ⏰ Friday, 11am-2pm PST at Poster #3614 Happy to chat outside these hours as well—I'm here for the full week (and the next ;)
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Salva Rühling Cachay
Salva Rühling Cachay@salvaRC7·
𝗧𝗵𝗲 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: 3) 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗥𝗲𝗮𝗹𝗶𝘀𝗺: ERDM matches the power spectra of operational physics-based models (IFS ENS), solving the "blurriness" problem common in AI weather models.
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Salva Rühling Cachay
Salva Rühling Cachay@salvaRC7·
🌍 Modeling chaos isn't just about predicting the next step—it's about modeling how uncertainty grows over time.🌪️ I’m thrilled to share Elucidated Rolling Diffusion Models (ERDM), accepted to #NeurIPS2025! We unify rolling diffusion with EDM for forecasting complex systems🧵👇
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Dongxia Wu
Dongxia Wu@allen_dongxiawu·
My lab (dongxiaw.github.io/online-cv/) at MBZUAI is recruiting PhD students, Postdocs, and Visiting Scholars starting Fall 2026. Interested candidates can email their CV, transcript, and research plan to dowu@stanford.edu with the subject: '[Name] [Position] - MBZUAI Application'.
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Climate Change AI
Climate Change AI@ClimateChangeAI·
We are pleased to announce the AI Climate Academy partnership! 📅Pilot workshop from Oct 13 to 17, 2025, to be held in Belém, Brazil. 🚨Call open for participants from Amazonian countries. Deadline: Aug 29, 2025: itsrio2.typeform.com/AIClimate
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Climate Change AI
Climate Change AI@ClimateChangeAI·
🚨We have extended the paper and proposal submission deadline for our #NeurIPS2025 workshop to August 22, 2025 (AoE). For more information on the workshop and how to submit your work, see here: climatechange.ai/events/neurips…
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Climate Change AI
Climate Change AI@ClimateChangeAI·
We're delighted to invite submissions to the #NeurIPS2025 workshop "Tackling Climate Change with Machine Learning". Important dates: ▶️Mentorship program: Jul 28 ▶️Papers, proposal & tutorial submissions: Aug 20 ▶️Workshop: Dec 6 or 7 Learn more: climatechange.ai/events/neurips…
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Zachary Novack
Zachary Novack@zacknovack·
We're organizing the AI for Music workshop at @NeurIPSConf in San Diego! We'll be accepting both papers + demos w/an initial deadline of August 22, well timed for early visibility on your ICASSP/ICLR drafts 👀 Check out the website for more: aiformusicworkshop.github.io
Hao-Wen (Herman) Dong 董皓文@hermanhwdong

🔥Happy to announce that the AI for Music Workshop is coming to #NeurIPS2025! We have an amazing lineup of speakers! We call for papers & demos (due on August 22)! See you in San Diego!🏖️ @chrisdonahuey @Ilaria__Manco @zawazaw @huangcza @McAuleyLabUCSD @zacknovack @NeurIPSConf

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Morteza Mardani
Morteza Mardani@MardaniMorteza·
📢📢 Elucidated Rolling Diffusion Models (ERDM) How can we stably roll out diffusion models for sequence generation in data-scarce dynamical systems? We elucidate the design of rolling diffusion, inspired by prob. flow ODEs and nonisotropic noise. 📄 arxiv.org/pdf/2506.20024
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Salva Rühling Cachay
Salva Rühling Cachay@salvaRC7·
Come talk to us at Poster session 3: Thursday 11am-2pm at East Hall A-C #3905! #NeurIPS Btw, our code is now available at github.com/Rose-STL-Lab/s… I look forward to discussions @NeurIPS and will be there for the whole week, so please reach out if you'd like to chat! :)
UC San Diego@UCSanDiego

Computer scientists at #UCSanDiego and @Allen_AI have developed a new climate model—combining generative #AI and physics data—that is capable of predicting #climate patterns 25 times faster than the state of the art. ➡️ bit.ly/3ZByZbc

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UC San Diego
UC San Diego@UCSanDiego·
Computer scientists at #UCSanDiego and @Allen_AI have developed a new climate model—combining generative #AI and physics data—that is capable of predicting #climate patterns 25 times faster than the state of the art. ➡️ bit.ly/3ZByZbc
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Kushagra Pandey
Kushagra Pandey@kpandey008·
Check out our new work on modeling heavy-tailed distributions with diffusion models. Key highlight: good empirical performance with minimal implementation overhead 🔥. Shoutout to my amazing colleagues during my internship @nvidia x.com/MardaniMorteza…
Morteza Mardani@MardaniMorteza

🌪️ Can Gaussian-based diffusion models handle heavy-tailed data like extreme scientific events? The answer is NO. We’ve redesigned diffusion models with multivariate "Student-t" noise to tackle heavy tails! 📈 📝 Read more: arxiv.org/abs/2410.14171

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Salva Rühling Cachay
Salva Rühling Cachay@salvaRC7·
🎉Our ICML ML4ESM Best Paper is now accepted as a #NeurIPS2024 spotlight!🏆➡️🔦 📄Stay tuned for our camera-ready version with exciting updates, including 100-year inference runs 🌏🌎🌍. Huge thanks to our reviewers for their invaluable feedback & unanimously strong support. 🙏
Salva Rühling Cachay@salvaRC7

🌍We've developed the first conditional generative model for accurate & efficient ensemble climate simulations! 📄Read the full paper: arxiv.org/abs/2406.14798 🎉Excited to share that a preliminary version was accepted as an oral presentation @ml4esmworkshop at #ICML2024! 🧵

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Johan Obando-Ceron 👍🏽
Johan Obando-Ceron 👍🏽@johanobandoc·
🎉 Muchísimas gracias Pablo! 🙏 I’m incredibly grateful for your guidance and support throughout this journey. It’s been an honor learning from you, and I’m excited to continue pushing forward with the PhD! Here’s to more discoveries and growth ahead. 🎓💪 ¡Vamos por más! 🚀
Pablo Samuel Castro@pcastr

So happy & proud to have been present for @johanobandoc 's graduation from @UMontreal @Mila_Quebec as Master of Science, in the dean's honour list! This is my first student graduating, although Johan is still working with me towards his doctorate. ¡Felicitaciones, Johan! 🎉🧑🏾‍🎓

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