Raghul Parthipan

According to our database, Raghul Parthipan authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Zero-Shot Time Series Forecasting with Covariates via In-Context Learning.

Andreas Auer, Raghul Parthipan, Pedro Mercado, Abdul Fatir Ansari, Lorenzo Stella, Yuyang Wang, Michael Bohlke-Schneider, Syama Sundar Rangapuram

CoRR, June, 2025

Regularization of ML models for Earth systems by using longer model timesteps.

Raghul Parthipan, Mohit Anand, Hannah M. Christensen, Frederic Vitart, Damon J. Wischik, Jakob Zscheischler

CoRR, March, 2025

2024

Defining error accumulation in ML atmospheric simulators.

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

CoRR, 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