Reproduce “Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Elin Törnquist, Wagner Costa Santos, Timothy Pogue, Nicholas Wingle, Robert A. Caulk

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.