Publications

You can find my complete works here. (*) denotes equal contribution.

Conference Proceedings

Chaosbench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
Advances in Neural Information Processing Systems 37 (NeurIPS), 2024
Oral Presentation, D&B Track (Top ~0.6%)
[paper] [code] [blog]

Deep Generative Data Assimilation in Multimodal Setting
Yongquan Qu*, Juan Nathaniel*, Shuolin Li, Pierre Gentine
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
Best Student Paper Award @ CVPR EarthVision Workshop 2024
[paper] [code]

Peer-Reviewed Journal

Inferring Failure Risk of On-Site Wastewater Systems from Physical and Social Factors
Juan Nathaniel, Sara Schwetschenau, Upmanu Lall
(Accepted) NPJ Clean Water, Nature Publishing, 2024

Spatiotemporal Upscaling of Sparse Air-Sea pCO2 Data via Physics-Informed Transfer Learning
Siyeon Kim*, Juan Nathaniel*, Zhewen Hou, Tian Zheng, Pierre Gentine
Scientific Data, Nature Publishing, 2024
[paper] [code]

MetaFlux: Meta-learning Global Carbon Fluxes From Sparse Spatiotemporal Observations
Juan Nathaniel, Jiangong Liu, Pierre Gentine
Scientific Data, Nature Publishing, 2023
[paper] [code]