218 citations · 1k across the 15 of their papers we have counts for
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astro-ph.IM2024
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles +26
We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, the MU…
cs.LG2024★ 1 cited
Estimating Probability Densities with Transformer and Denoising Diffusion
Henry W. Leung, Jo Bovy, Joshua S. Speagle
Transformers are often the go-to architecture to build foundation models that ingest a large amount of training data. But these models do not estimate the probability density distr…