Paper-Conference

Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space

Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model

Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings)

Evaluating medical aesthetics treatments through evolved age-estimation models

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel

Effective reinforcement learning through evolutionary surrogate-assisted prescription

Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms

Enhancing exploration in differential evolution via exponential recombination

An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem