21 citations · 33 across the 10 of their papers we have counts for
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cs.IT2021
On Thermodynamic Interpretation of Copula Entropy
Jian Ma
Copula Entropy (CE) is a recently introduced concept for measuring correlation/dependence in information theory. In this paper, the theory of CE is introduced and the thermodynamic…
stat.ML2021★ 1 cited
Understanding Uncertainty in Bayesian Deep Learning
Cooper Lorsung
Neural Linear Models (NLM) are deep Bayesian models that produce predictive uncertainty by learning features from the data and then performing Bayesian linear regression over these…