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Found 4 papers, 2 papers with code
MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias Corrections
Scientists often model physical processes to understand the natural world and uncover the causation behind observations.
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model
Advances in machine learning have boosted the use of Earth observation data for climate change research.
Imagining the Unseen: Learning a Distribution over Incomplete Images with Dense Latent Trees
Images are composed as a hierarchy of object parts.
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification
Nuclear magnetic resonance (NMR) spectroscopy exploits the magnetic properties of atomic nuclei to discover the structure, reaction state and chemical environment of molecules.
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