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publications
MetaFlux: Meta-learning Global Carbon Fluxes From Sparse Spatiotemporal Observations
Juan Nathaniel, Jiangong Liu, Pierre Gentine
Scientific Data, Nature Publishing, 2023
[paper] [code]
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]
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]
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]
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
talks
Talk 1 on Relevant Topic in Your Field
UC San Francisco, Department of Testing
Tutorial 1 on Relevant Topic in Your Field
UC-Berkeley Institute for Testing Science
Talk 2 on Relevant Topic in Your Field
London School of Testing
Conference Proceeding talk 3 on Relevant Topic in Your Field
Testing Institute of America 2014 Annual Conference
teaching
Teaching experience 1
University 1, Department
Teaching experience 2
University 1, Department