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Found 3 papers, 1 papers with code
Physics-based material parameters extraction from perovskite experiments via Gaussian process
The ability to extract material parameters of perovskite from quantitative experimental analysis is essential for rational design of photovoltaic and optoelectronic applications.
Exoplanet Characterization using Conditional Invertible Neural Networks
Indeed, using cINNs allows for orders of magnitude faster inference of an exoplanet's composition than what is possible using an MCMC method, however, it still requires the computation of a large database of internal structures to train the cINN.
Evaluation of Output Embeddings for Fine-Grained Image Classification
Image classification has advanced significantly in recent years with the availability of large-scale image sets.
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