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20182021
most citedRobustness to Pruning Predicts Generalization in Deep Neural Networks

9 citations · 24 across the 3 of their papers we have counts for

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stat.ML2019

Noise Regularization for Conditional Density Estimation

Jonas Rothfuss, Fabio Ferreira, Simon Boehm +4

Modelling statistical relationships beyond the conditional mean is crucial in many settings. Conditional density estimation (CDE) aims to learn the full conditional probability den…

stat.ML2019★ 6 cited

Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks

Jonas Rothfuss, Fabio Ferreira, Simon Walther +1

Given a set of empirical observations, conditional density estimation aims to capture the statistical relationship between a conditional variable and a dependent varia…