On manifolds and autoencoders
Deep Generative Models
Laplace operators and regularization Fast algorithms for translation invariant and dot product kernels
Manifold Blurring Mean Shift Algorithms for Manifold Denoising
Discriminative k-Metrics
Warm-Up for BCI Physiology: Basic Concepts in the Transition from Cellular Microrecordings to Noninvasive Large-Scale EEG/MEG Signals
Topics in Mathematics of Data Science
Adversarial Examples
Generative Models II
Theoretical neuroscience and deep learning theory