Aneesh C. Subramanian

According to our database, Aneesh C. Subramanian authored at least 6 papers between 2019 and 2025.

Collaborative distances:

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

2025

Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning.

Lucas Howard, Aneesh C. Subramanian, Gregory Thompson, Benjamin Johnson, Thomas Auligne

CoRR, April, 2025

Data-Driven Probabilistic Air-Sea Flux Parameterization.

Jiarong Wu, Pavel Perezhogin, David John Gagne, Brandon Reichl, Aneesh C. Subramanian, Elizabeth Thompson, Laure Zanna

CoRR, March, 2025

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction.

Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh C. Subramanian, Md. Osman Gani

CoRR, March, 2025

2024

Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet.

Emam Hossain, Md. Osman Gani, Devon Dunmire, Aneesh C. Subramanian, Hammad Younas

Proceedings of the International Conference on Machine Learning and Applications, 2024

2022

Annual Modulation of Diurnal Winds in the Tropical Oceans.

Donata Giglio, Sarah T. Gille, Bruce D. Cornuelle, Aneesh C. Subramanian, F. Joseph Turk, Svetla M. Hristova-Veleva, Devon Northcott

Remote. Sens., 2022

2019

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model.

David John Gagne II, Hannah M. Christensen, Aneesh C. Subramanian, Adam H. Monahan

CoRR, 2019