780 citations · 1.8k across the 76 of their papers we have counts for
4 papers · 1 filter
Rate-Distortion Auto-Encoders
Luis G. Sanchez Giraldo, Jose C. Principe
A rekindled the interest in auto-encoder algorithms has been spurred by recent work on deep learning. Current efforts have been directed towards effective training of auto-encoder…
Kernel methods on spike train space for neuroscience: a tutorial
Il Memming Park, Sohan Seth, Antonio R. C. Paiva +2
Over the last decade several positive definite kernels have been proposed to treat spike trains as objects in Hilbert space. However, for the most part, such attempts still remain…
Information Theoretic Learning with Infinitely Divisible Kernels
Luis G. Sanchez Giraldo, Jose C. Principe
In this paper, we develop a framework for information theoretic learning based on infinitely divisible matrices. We formulate an entropy-like functional on positive definite matric…
Deep Predictive Coding Networks
Rakesh Chalasani, Jose C. Principe
The quality of data representation in deep learning methods is directly related to the prior model imposed on the representations; however, generally used fixed priors are not capa…