Gérôme Andry @Neurips2025
@gandry.bsky.social
PhD student @universitedeliege.bsky.social with @glouppe.bsky.social. @frsFNRS research fellow. Focuses on AI for scientific discoveries 🤖
Special shoutout to @sachalewin.bsky.social for a huge code refactor + super clean GitHub 𝐰𝐢𝐤𝐢.
👉 Explore the repo, try Appa (weights on Hugging Face huggingface.co/datasets/mon...), and let us know what you think!
👉 Explore the repo, try Appa (weights on Hugging Face huggingface.co/datasets/mon...), and let us know what you think!
montefiore-sail/appa · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
October 8, 2025 at 10:33 AM
Special shoutout to @sachalewin.bsky.social for a huge code refactor + super clean GitHub 𝐰𝐢𝐤𝐢.
👉 Explore the repo, try Appa (weights on Hugging Face huggingface.co/datasets/mon...), and let us know what you think!
👉 Explore the repo, try Appa (weights on Hugging Face huggingface.co/datasets/mon...), and let us know what you think!
Big thanks to everyone who made this possible 🙏 @sachalewin.bsky.social, @francois-rozet.bsky.social, @orochman.bsky.social, Victor Mangeleer @mapirlet.bsky.social, Elise Faulx, Marilaure Grégoire and our promoter @glouppe.bsky.social for his tremendous support.
October 8, 2025 at 10:33 AM
Big thanks to everyone who made this possible 🙏 @sachalewin.bsky.social, @francois-rozet.bsky.social, @orochman.bsky.social, Victor Mangeleer @mapirlet.bsky.social, Elise Faulx, Marilaure Grégoire and our promoter @glouppe.bsky.social for his tremendous support.
Next stop: 𝐒𝐚𝐧 𝐃𝐢𝐞𝐠𝐨! ✈️
We’ll present Appa at the workshop and continue improving:
• Incorporating real observations
• Reducing temporal error growth
… and we’d love your suggestions or feedback!
We’ll present Appa at the workshop and continue improving:
• Incorporating real observations
• Reducing temporal error growth
… and we’d love your suggestions or feedback!
October 8, 2025 at 10:33 AM
Next stop: 𝐒𝐚𝐧 𝐃𝐢𝐞𝐠𝐨! ✈️
We’ll present Appa at the workshop and continue improving:
• Incorporating real observations
• Reducing temporal error growth
… and we’d love your suggestions or feedback!
We’ll present Appa at the workshop and continue improving:
• Incorporating real observations
• Reducing temporal error growth
… and we’d love your suggestions or feedback!
We believe Appa carries important messages. 🌍
How to flexibly incorporate observations to tackle diverse assimilation tasks in a 𝐮𝐧𝐢𝐟𝐢𝐞𝐝 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤? What are the advantages of compressing data for inference at this scale? And what are the limitations?
How to flexibly incorporate observations to tackle diverse assimilation tasks in a 𝐮𝐧𝐢𝐟𝐢𝐞𝐝 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤? What are the advantages of compressing data for inference at this scale? And what are the limitations?
October 8, 2025 at 10:33 AM
We believe Appa carries important messages. 🌍
How to flexibly incorporate observations to tackle diverse assimilation tasks in a 𝐮𝐧𝐢𝐟𝐢𝐞𝐝 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤? What are the advantages of compressing data for inference at this scale? And what are the limitations?
How to flexibly incorporate observations to tackle diverse assimilation tasks in a 𝐮𝐧𝐢𝐟𝐢𝐞𝐝 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤? What are the advantages of compressing data for inference at this scale? And what are the limitations?
This release builds on our recently submitted ML4PS @ NeurIPS workshop paper, and already goes beyond the first arXiv version (April 2025, arxiv.org/abs/2504.18720).
Appa now uses a simpler architecture and still reaches strong performance with ~𝟓𝟑𝟎× 𝐜𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧!
Appa now uses a simpler architecture and still reaches strong performance with ~𝟓𝟑𝟎× 𝐜𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧!
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
Deep learning has transformed weather forecasting by improving both its accuracy and computational efficiency. However, before any forecast can begin, weather centers must identify the current atmosph...
arxiv.org
October 8, 2025 at 10:33 AM
This release builds on our recently submitted ML4PS @ NeurIPS workshop paper, and already goes beyond the first arXiv version (April 2025, arxiv.org/abs/2504.18720).
Appa now uses a simpler architecture and still reaches strong performance with ~𝟓𝟑𝟎× 𝐜𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧!
Appa now uses a simpler architecture and still reaches strong performance with ~𝟓𝟑𝟎× 𝐜𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧!
I'm interested too 🤓
November 19, 2024 at 11:40 PM
I'm interested too 🤓