Aneesh Subramanian

Orcid: 0000-0001-7805-0102

According to our database1, Aneesh Subramanian authored at least 9 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Engaging K-12 Learners in Data Annotation for AI Climate Models.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

2024
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling.
CoRR, 2024

Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet.
CoRR, 2024

Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach.
CoRR, 2023

STint: Self-supervised Temporal Interpolation for Geospatial Data.
CoRR, 2023

Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2018
Statistical Characteristics of Long-Term High-Resolution Precipitable Water Vapor Data at Darwin.
Adv. Data Sci. Adapt. Anal., 2018

2016
Simulation of High-Resolution Precipitable Water Data by a Stochastic Model with a Random Trigger.
Adv. Data Sci. Adapt. Anal., 2016


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