An introduction to topological deep learning, including a new class of topological neural networks operating on a new topological domain.
Minisymposium on statistics and machine learning in topological and geometric data analysis.
Talk on an approximate MCMC sampling approach to Bayesian deep learning.
Talk on the predictive capacity of Bayesian marginalization for neural networks in the absence of MCMC convergence.