23 citations · 73 across the 19 of their papers we have counts for
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cs.IT2023★ 6 cited
Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning
Chenguang Lu
A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity…
cs.IT2023★ 1 cited
How Semantic Information G Measure Relates to Distortion, Freshness, Purposiveness, and Efficiency
Chenguang Lu
To improve communication efficiency and provide more useful information, we need to measure semantic information by combining inaccuracy or distortion, freshness, purposiveness, an…
cs.AI2023★ 7 cited
Causal Confirmation Measures: From Simpson's Paradox to COVID-19
Chenguang Lu
When we compare the influences of two causes on an outcome, if the conclusion from every group is against that from the conflation, we think there is Simpson's Paradox. The Existin…