Search Results for author: Carson Chow

Found 3 papers, 2 papers with code

Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models

no code implementations • 13 Feb 2024 • Joshua C Chang, Xiangting Li, Shixin Xu, Hao-Ren Yao, Julia Porcino, Carson Chow

We introduce a set of gradient-flow-guided adaptive importance sampling (IS) transformations to stabilize Monte-Carlo approximations of point-wise leave one out cross-validated (LOO) predictions for Bayesian classification models.

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Finite size effects for spiking neural networks with spatially dependent coupling

1 code implementation • 9 May 2018 • Siwei Qiu, Carson Chow

We study finite-size fluctuations in a network of spiking deterministic neurons coupled with non-uniform synaptic coupling.

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Learning recurrent dynamics in spiking networks

1 code implementation • 18 Mar 2018 • Christopher Kim, Carson Chow

Spiking activity of neurons engaged in learning and performing a task show complex spatiotemporal dynamics.

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