Salva Rühling Cachay

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Service Delivery

Statistical Physics

Adjacency Matrix

Diffusion Models

Top Venues

IEEE VIS (Short Papers)

Publications

Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion. CoRR (2024)
Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CoRR (2023)
Salva Rühling Cachay, Bo Zhao, Hailey James, Rose Yu
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting. CoRR (2023)
Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. IEEE VIS (Short Papers) (2023)
Haruki Hirasawa, Soo Kyung Kim, Peetak Mitra, Subhashis Hazarika, Salva Rühling Cachay, Dipti Hingmire, Kalai Ramea, Hansi A. Singh, Philip J. Rasch
Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem. CoRR (2023)
Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting. NeurIPS (2023)
Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CIKM (2023)
Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. CoRR (2023)
Salva Rühling Cachay, Venkatesh Ramesh, Jason N. S. Cole, Howard Barker, David Rolnick
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models. CoRR (2021)
Salva Rühling Cachay, Venkatesh Ramesh, Jason N. S. Cole, Howard Barker, David Rolnick
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models. NeurIPS Datasets and Benchmarks (2021)
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
End-to-End Weak Supervision. CoRR (2021)
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
End-to-End Weak Supervision. NeurIPS (2021)
Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Suyash Bire, Salomey Osei, Björn Lütjens
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks. CoRR (2021)
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
Dependency Structure Misspecification in Multi-Source Weak Supervision Models. CoRR (2021)
Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Salomey Osei, Björn Lütjens
Graph Neural Networks for Improved El Niño Forecasting. CoRR (2020)