L

Louis de Neve

PhD researcher at the intersection of machine learning and climate science. I study how deep learning can improve our understanding and prediction of the atmosphere. Outside the lab, I travel with a camera.

Recent Travel

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Recent Publications

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Journal

Towards Interpretable Climate Models: Sparse Autoencoders for Disentangling Atmospheric Circulation Patterns

de Neve, L., Hartmann, A., Schulz, M., & Chen, J.

Journal of Climate, 2024

Conference

Scaling Laws for Data-Driven Weather Prediction at Kilometre Resolution

de Neve, L. & Schulz, M.

NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2023

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