Salva Rühling Cachay

According to our database, Salva Rühling Cachay authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, June, 2025

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

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

Probablistic Emulation of a Global Climate Model with Spherical DYffusion.

Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.

Salva Rühling Cachay, Bo Zhao, Hailey James, Rose Yu

CoRR, 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

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

Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.

Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Dependency Structure Misspecification in Multi-Source Weak Supervision Models.

Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski

CoRR, 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

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

End-to-End Weak Supervision.

Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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