Graph Neural Networks for Improved El Niño Forecasting. - Salva Rühling Cachay; Emma Erickson; Arthur Fender C. Bucker; Ernest Pokropek; Willa Potosnak; Salomey Osei; Björn Lütjens (CoRR, 2020)

End-to-End Weak Supervision. - Salva Rühling Cachay; Benedikt Boecking; Artur Dubrawski (NeurIPS, 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 (NeurIPS Datasets and Benchmarks, 2021)

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks. - Salva Rühling Cachay; Emma Erickson; Arthur Fender C. Bucker; Ernest Pokropek; Willa Potosnak; Suyash Bire; Salomey Osei; Björn Lütjens (CoRR, 2021)

Dependency Structure Misspecification in Multi-Source Weak Supervision Models. - Salva Rühling Cachay; Benedikt Boecking; Artur Dubrawski (CoRR, 2021)

Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. - Soo Kyung Kim; Kalai Ramea; Salva Rühling Cachay; Haruki Hirasawa; Subhashis Hazarika; Dipti Hingmire; Peetak Mitra; Philip J. Rasch; Hansi A. Singh (CIKM, 2023)

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting. - Salva Rühling Cachay; Bo Zhao 028; Hailey Joren; Rose Yu (NeurIPS, 2023)

HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. - Subhashis Hazarika; Haruki Hirasawa; Soo Kyung Kim; Kalai Ramea; Salva Rühling Cachay; Peetak Mitra; Dipti Hingmire; Hansi A. Singh; Philip J. Rasch (IEEE VIS (Short Papers), 2023)

Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem. - Haruki Hirasawa; Soo Kyung Kim; Peetak Mitra; Subhashis Hazarika; Salva Rühling Cachay; Dipti Hingmire; Kalai Ramea; Hansi A. Singh; Philip J. Rasch (CoRR, 2023)

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting. - Salva Rühling Cachay; Bo Zhao 028; Hailey James; Rose Yu (CoRR, 2023)

Probablistic Emulation of a Global Climate Model with Spherical DYffusion. - Salva Rühling Cachay; Brian Henn; Oliver Watt-Meyer; Christopher S. Bretherton; Rose Yu (NeurIPS, 2024)

Probabilistic Emulation of a Global Climate Model with Spherical DYffusion. - Salva Rühling Cachay; Brian Henn; Oliver Watt-Meyer; Christopher S. Bretherton; Rose Yu (CoRR, 2024)

DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America. - Daniel Seal; Rossella Arcucci; Salva Rühling Cachay; César A. Quilodrán Casas (CoRR, 2024)

Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting. - Salva Rühling Cachay; Miika Aittala; Karsten Kreis; Noah D. Brenowitz; Arash Vahdat; Morteza Mardani; Rose Yu (CoRR, 2025)