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Salva Rühling Cachay

@salvarc7.bsky.social

919 followers 230 following 17 posts

ML PhD student at UC San Diego. Into AI for Science, especially climate & weather. salvarc.github.io

Posts Replies Media

Salva Rühling Cachay @salvarc7.bsky.social · 04/06/2026

🌎⚡ A frontier (1.5°, 15-day) ensemble weather forecast in ~3 seconds, from a probabilistic model you can train in ~1 day on a single H200 GPU?* Meet U-Cast, our new #ICML2026 paper. 🧵

The Efficiency-Accuracy Pareto Frontier. We visualize
forecast skill (y-axis, % improvement over IFS ENS), inference la-
tency (x-axis), and training cost (bubble size). Our model (top-left)
achieves state-of-the-art performance while requiring an order of
magnitude less compute for training and/or inference compared
to leading baselines.

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Salva Rühling Cachay @salvarc7.bsky.social · 27/11/2025

🌍 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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Reposted by Salva Rühling Cachay

David Rolnick @drolnick.bsky.social · 10/01/2025

Internship in our group at Mila in reinforcement learning + graphs for reducing energy use in buildings. More info and submit an application by Jan 13 here: forms.gle/TCChXnvSAHqz... Questions? Email donna.vakalis@mila.quebec with [intern!] in the subject line.

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Salva Rühling Cachay @salvarc7.bsky.social · 12/12/2024

Come talk to us tomorrow at Poster session 3: Thursday 11am-2pm at East Hall A-C #3905! (Or ping me if you'd like to chat outside of the poster session!)

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Reposted by Salva Rühling Cachay

Stephan Hoyer @handle.invalid · 21/11/2024

The new ACE2 climate emulator from Oliver Watt-Meyer et al has very compelling results, with results that look comparable to NeuralGCM. Congrats to the AI2 team! arxiv.org/abs/2411.112...

arxiv.org

ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses

Existing machine learning models of weather variability are not formulated to enable assessment of their response to varying external boundary conditions such as sea surface temperature and greenhouse...

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Reposted by Salva Rühling Cachay

Jerry Lin 🇺🇦 @jlin404.com · 16/11/2024

I made a starter pack for those working in or adjacent to Machine Learning for Earth System Modeling! Apologies if I forgot anyone, and feel free to suggest people to add :) go.bsky.app/C5DQNCe

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