Salva Rühling Cachay | DeepAI

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Featured Co-authors

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∙ 02/07/2023

Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles

The availability of training data remains a significant obstacle for the...

21 Soo Kyung Kim, et al. ∙

∙ 02/03/2023

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

Marine cloud brightening (MCB) is a proposed climate intervention techno...

0 Haruki Hirasawa, et al. ∙

∙ 11/29/2021

ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models

Numerical simulations of Earth's weather and climate require substantial...

0 Salva Rühling Cachay, et al. ∙

∙ 07/05/2021

End-to-End Weak Supervision

Aggregating multiple sources of weak supervision (WS) can ease the data-...

0 Salva Rühling Cachay, et al. ∙

∙ 06/18/2021

Dependency Structure Misspecification in Multi-Source Weak Supervision Models

Data programming (DP) has proven to be an attractive alternative to cost...

0 Salva Rühling Cachay, et al. ∙

∙ 04/11/2021

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks

Deep learning-based models have recently outperformed state-of-the-art s...

7 Salva Rühling Cachay, et al. ∙

∙ 12/02/2020

Graph Neural Networks for Improved El Niño Forecasting

Deep learning-based models have recently outperformed state-of-the-art s...

0 Salva Rühling Cachay, et al. ∙

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