119 citations · 222 across the 16 of their papers we have counts for
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cs.LG2022★ 1 cited
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler, Pierre Colombo, Malik Boudiaf +2
Mutual Information (MI) has been widely used as a loss regularizer for training neural networks. This has been particularly effective when learn disentangled or compressed represen…
cs.LG2019★ 7 cited
Minimal Achievable Sufficient Statistic Learning
Milan Cvitkovic, Günther Koliander
We introduce Minimal Achievable Sufficient Statistic (MASS) Learning, a training method for machine learning models that attempts to produce minimal sufficient statistics with resp…