Raghul Parthipan

According to our database, Raghul Parthipan authored at least 4 papers between 2022 and 2024.

Collaborative distances:

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

2024

Machine Learning for Stochastic Parametrisation.

Hannah M. Christensen, Salah Kouhen, Greta Miller, Raghul Parthipan

CoRR, 2024

2023

Taylorformer: Probabilistic Predictions for Time Series and other Processes.

Omer Nivron, Raghul Parthipan, Damon J. Wischik

CoRR, 2023

2022

Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation.

Raghul Parthipan, Damon J. Wischik

CoRR, 2022

Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning.

Raghul Parthipan, Hannah M. Christensen, J. Scott Hosking, Damon J. Wischik

CoRR, 2022