1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Bayesian Attention Networks for Data Compression
Michael Tetelman
The lossless data compression algorithm based on Bayesian Attention Networks is derived from first principles. Bayesian Attention Networks are defined by introducing an attention f…
cs.LG2020★ 1 cited
On Compression Principle and Bayesian Optimization for Neural Networks
Michael Tetelman
Finding methods for making generalizable predictions is a fundamental problem of machine learning. By looking into similarities between the prediction problem for unknown data and…