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ORCIDSalva Rühling Cachay
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2020 – today
- 2024
[c6]Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu:
Probablistic Emulation of a Global Climate Model with Spherical DYffusion. NeurIPS 2024- [i11]Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu:
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion. CoRR abs/2406.14798 (2024) - [i10]Daniel Seal, Rossella Arcucci, Salva Rühling Cachay, César A. Quilodrán Casas:
DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America. CoRR abs/2412.02723 (2024) - 2023
- [c5]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: 4653-4659 - [c4]Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu:
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting. NeurIPS 2023 - [c3]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: 226-230 - [i9]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 abs/2302.01957 (2023) - [i8]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 abs/2302.03258 (2023) - [i7]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 abs/2305.07859 (2023) - [i6]Salva Rühling Cachay, Bo Zhao, Hailey James, Rose Yu:
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting. CoRR abs/2306.01984 (2023) - 2021
- [c2]Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski:
End-to-End Weak Supervision. NeurIPS 2021: 1845-1857 - [c1]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 - [i5]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 abs/2104.05089 (2021) - [i4]Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski:
Dependency Structure Misspecification in Multi-Source Weak Supervision Models. CoRR abs/2106.10302 (2021) - [i3]Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski:
End-to-End Weak Supervision. CoRR abs/2107.02233 (2021) - [i2]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 abs/2111.14671 (2021) - 2020
- [i1]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 abs/2012.01598 (2020)
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