Introduces tangential Bayes denoiser for Riemannian Gaussian mixtures on manifolds via spectral Laplace-Beltrami approximation, with nearly Bayes risk in low noise and minimax optimality on the circle.
Before and below ‘theory of mind’: embodied simulation and the neural correlates of social cognition
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes the first formal definition and meta-model for Machine Theory of Mind to organize research, review SOTA, and enable empirical benchmarking.
citing papers explorer
-
Nonparametric Riemannian Empirical Bayes, and Denoising Measurements on Manifolds
Introduces tangential Bayes denoiser for Riemannian Gaussian mixtures on manifolds via spectral Laplace-Beltrami approximation, with nearly Bayes risk in low noise and minimax optimality on the circle.
-
A formal definition and meta-model for a machine theory of mind
Proposes the first formal definition and meta-model for Machine Theory of Mind to organize research, review SOTA, and enable empirical benchmarking.