Search Results for author: Samuel Gershman

Found 4 papers, 0 papers with code

Variational Particle Approximations

no code implementations24 Feb 2014 Ardavan Saeedi, Tejas D. Kulkarni, Vikash Mansinghka, Samuel Gershman

Like Monte Carlo, DPVI can handle multiple modes, and yields exact results in a well-defined limit.

Spike Sorting Variational Inference

Perceptual Multistability as Markov Chain Monte Carlo Inference

no code implementations NeurIPS 2009 Samuel Gershman, Ed Vul, Joshua B. Tenenbaum

While many perceptual and cognitive phenomena are well described in terms of Bayesian inference, the necessary computations are intractable at the scale of real-world tasks, and it remains unclear how the human mind approximates Bayesian inference algorithmically.

Bayesian Inference

Cannot find the paper you are looking for? You can Submit a new open access paper.