119 citations · 222 across the 16 of their papers we have counts for
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eess.SP2022★ 119 cited
Fusion of Probability Density Functions
Günther Koliander, Yousef El-Laham, Petar M. Djurić +1
Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusio…
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…