Venkatesh Ramesh

According to our database, Venkatesh Ramesh authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Tree semantic segmentation from aerial image time series.

Venkatesh Ramesh, Arthur Ouaknine, David Rolnick

CoRR, 2024

2023

Hard-Constrained Deep Learning for Climate Downscaling.

Paula Harder, Alex Hernández-García, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

J. Mach. Learn. Res., 2023

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling.

Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

CoRR, 2023

ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning.

Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Generating physically-consistent high-resolution climate data with hard-constrained neural networks.

Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick

CoRR, 2022

2021

ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models.

Salva Rühling Cachay, Venkatesh Ramesh, Jason N. S. Cole, Howard Barker, David Rolnick

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021