multimodal-learning
deep-multimodal-representation-learning-for-stellar-spectraDataset used in the paper "Deep Multimodal Representation Learning for Stellar Spectra".
Dataset of Milky Way stars based on selection from https://ui.adsabs.harvard.edu/abs/2024A&A...682A...9G,
which is based on ESA/Gaia/DPAC and APOGEE surveys.
This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia),
processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium).
Funding… See the full description on the dataset page: https://huggingface.co/datasets/christianschwarz/deep-multimodal-representation-learning-for-stellar-spectra.Agentic-Diagnostic-Reasoning-with-Multimodal-SLMs-via-Reinforcement-Learning
Multimodal_Language_Learning_AidLight_Multimodal_Learning_The_SpectralMix_Headrepro-dissecting-multimodal-in-context-learning-modality-asymmetries-and-circuit-dynamics-in-modrepro-dissecting-multimodal-in-context-learningrepro-metastreet-semi-supervised-multimodal-learning-for-street-level-socioeconomic-prediction