The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding".
The official repository for ACL 2024 paper "Representation Learning with Conditional Information Flow Maximization".
A hybrid optimizer that combines information-theoretic entropy minimization, Bayesian variational updates, and hierarchical clustering to achieve ultra-fast, deterministic convergence on black-box objectives.
Through Permutation Entropy, we can delve into complex economic systems and unveil their hidden dynamics. PE captures the ordinal relationships between individual values in a time series, revealing a probability distribution of these patterns. This, in turn, allows us to quantify the degree of complexity inherent in the system's behavior.
Simulation and analysis codes for Woo et al., 2025 Entropy: Information-theoretic framework for the study of learning and decision-making under uncertainty
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