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18min chapter
[28] Karen Ullrich - A Coding Perspective on Deep Latent Variable Models
The Thesis Review
Compression, Intelligence, and Machine Learning
This chapter examines the complex interconnections between information compression, cognitive processes, and advancements in machine learning. It critiques simplistic views of the brain as merely a compressor of information, advocating for a deeper understanding of redundancy and disentanglement. The discussion also explores the practical implications of compressing neural networks and the significance of information theory in enhancing machine learning methodologies.
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