Chaitanya K. Ryali

The paper introduces a neural approximation algorithm, EXP, that outperforms existing models in approximating Bayesian prediction performance while maintaining computational efficiency through a persistent prior mechanism.

This paper proposes a Bayesian statistical model to explain context-dependent facial attractiveness judgments, showing how statistical typicality and attentional mechanisms influence perception.

This paper develops a computational model to predict human social trait judgments from facial features using an active appearance model and linear trait axes, achieving state-of-the-art predictive accuracy.