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Found 3 papers, 1 papers with code
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy
Astronomical observations typically provide three-dimensional maps, encoding the distribution of the observed flux in (1) the two angles of the celestial sphere and (2) energy/frequency.
Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning
Reinforcement Learning (RL) allows learning non-trivial robot control laws purely from data.
Knowledge Generation -- Variational Bayes on Knowledge Graphs
A comparison between different latent space priors, using the $\delta$-VAE method, reveals a decoder collapse.
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