SolarCHIP contrastively pretrains CNN and Vision Transformer backbones on SDO AIA-HMI data with multi-granularity objectives, achieving SOTA on cross-modal translation and flare classification especially in low-resource settings.
A foundation model for the solar dynamics observatory
2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
UNVERDICTED 2representative citing papers
The authors release a heterogeneous, temporally and spatially aligned dataset combining solar, geomagnetic, and ionospheric sources and benchmark spatiotemporal ML models for vertical TEC forecasting.
citing papers explorer
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Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records
SolarCHIP contrastively pretrains CNN and Vision Transformer backbones on SDO AIA-HMI data with multi-granularity objectives, achieving SOTA on cross-modal translation and flare classification especially in low-resource settings.
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Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
The authors release a heterogeneous, temporally and spatially aligned dataset combining solar, geomagnetic, and ionospheric sources and benchmark spatiotemporal ML models for vertical TEC forecasting.