The "Relative Interestingness" of the First 5000 Natural Numbers [OC]
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Transforming Exploratory Creativity with DeLeNoX
We introduce DeLeNoX (Deep Learning Novelty Explorer), a system that autonomously creates artifacts in constrained spaces according to its own evolving interestingness criterion. DeLeNoX proceeds in alternating phases of exploration and transformatio...
Semantic Novelty Trajectories in 80,000 Books: A Cross-Corpus Embedding Analysis
I apply Schmidhuber's compression progress theory of interestingness at corpus scale, analyzing semantic novelty trajectories in more than 80,000 books spanning two centuries of English-language publishing. Using sentence-transformer paragraph embedd...
Generating Interesting Song-to-Song Segues With Dave
We introduce a novel domain-independent algorithm for generating interesting item-to-item textual connections, or segues. Pivotal to our contribution is the introduction of a scoring function for segues, based on their "interestingness". We provide a...
Testing Interestingness Measures in Practice: A Large-Scale Analysis of Buying Patterns
Understanding customer buying patterns is of great interest to the retail industry and has shown to benefit a wide variety of goals ranging from managing stocks to implementing loyalty programs. Association rule mining is a common technique for extra...
Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjectiv…
I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict or compress the data in a better way, thus making it subjectively simpler and more beauti...