Salva Rühling Cachay

Orcid: 0000-0002-7968-5035

According to our database1, Salva Rühling Cachay authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.
CoRR, 2023

Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem.
CoRR, 2023

HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021
Dependency Structure Misspecification in Multi-Source Weak Supervision Models.
CoRR, 2021

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks.
CoRR, 2021

ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

End-to-End Weak Supervision.
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.
CoRR, 2020


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