Troy Arcomano — accepted AI-conference papers

2025

OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales

Tung Nguyen, Tuan Pham, Troy Arcomano, Rao Kotamarthi, Ian Foster, Sandeep Madireddy +1

NeurIPS 2025poster

Accurate weather forecasting across time scales is critical for anticipating and mitigating the impacts of climate change. Recent data-driven methods based on deep learning have achieved significant success in the medium range, but struggle at longer subseasonal-to-seasonal (S2S) horizons due to err…

Cited by 0 Source ↗code ↗Scholar ↗

2024

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi +3

NeurIPS 2024poster

Weather forecasting is a fundamental problem for anticipating and mitigating the impacts of climate change. Recently, data-driven approaches for weather forecasting based on deep learning have shown great promise, achieving accuracies that are competitive with operational systems. However, those met…

Cited by 44 Source ↗PDF ↗code ↗Scholar ↗