Juan Nathaniel

12 papers A* 1B 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification.
CoRR
Hang Fan, Juan Nathaniel, Yi Xiao, Ce Bian, Fenghua Ling, Ben Fei, Lei Bai, Pierre Gentine
2025 J jnl
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models.
CoRR
Benjamin Herdeanu, Juan Nathaniel, Carla Roesch, Jatan Buch, Gregor N. Ramien, Johannes Haux, Pierre Gentine
2025 J jnl
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems.
CoRR
Juan Nathaniel, Carla Roesch, Jatan Buch, Derek DeSantis, Adam Rupe, Kara Lamb, Pierre Gentine
2025 J jnl
Generative emulation of chaotic dynamics with coherent prior.
CoRR
Juan Nathaniel, Pierre Gentine
2024 A* conf
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction.
NeurIPS
Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
2024 J jnl
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction.
CoRR
Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
2024 — conf
Deep Generative Data Assimilation in Multimodal Setting.
CVPR Workshops
Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine
2024 J jnl
Deep Generative Data Assimilation in Multimodal Setting.
CoRR
Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine
2023 C conf
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network.
IGARSS
Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein
2022 J jnl
Aboveground carbon biomass estimate with Physics-informed deep network.
CoRR
Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht
2022 B conf
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration.
IEEE Big Data
Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein
2021 — conf
Context-Aware Graph Convolutional Network for Dynamic Origin-Destination Prediction.
IEEE BigData
Juan Nathaniel, Baihua Zheng