Theodore Papamarkou
Theodore Papamarkou
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Events in 2024
Bayesian neural networks and dimensionality reduction
Towards efficient MCMC sampling in Bayesian neural networks by exploiting symmetry
Approximate blocked Gibbs sampling for Bayesian neural networks
Mapping the state of the art: artificial intelligence for decision making in financial crime
Towards faster gene expression prediction via dimensionality reduction and feature selection
Topological deep learning
Depth-2 neural networks under a data-poisoning attack
A random persistence diagram generator
Statistics and machine learning in topological and geometric data analysis
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