Juan Nathaniel

According to our database, Juan Nathaniel authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models.

Benjamin Herdeanu, Juan Nathaniel, Carla Roesch, Jatan Buch, Gregor N. Ramien, Johannes Haux, Pierre Gentine

CoRR, May, 2025

Deep Koopman operator framework for causal discovery in nonlinear dynamical systems.

Juan Nathaniel, Carla Roesch, Jatan Buch, Derek DeSantis, Adam Rupe, Kara Lamb, Pierre Gentine

CoRR, May, 2025

Generative emulation of chaotic dynamics with coherent prior.

Juan Nathaniel, Pierre Gentine

CoRR, April, 2025

2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Deep Generative Data Assimilation in Multimodal Setting.

Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network.

Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Aboveground carbon biomass estimate with Physics-informed deep network.

Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht

CoRR, 2022

NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration.

Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Context-Aware Graph Convolutional Network for Dynamic Origin-Destination Prediction.

Juan Nathaniel, Baihua Zheng

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021