15 citations · 33 across the 3 of their papers we have counts for
4 papers · 1 filter
Learning and Inference in Hilbert Space with Quantum Graphical Models
Siddarth Srinivasan, Carlton Downey, Byron Boots
Quantum Graphical Models (QGMs) generalize classical graphical models by adopting the formalism for reasoning about uncertainty from quantum mechanics. Unlike classical graphical m…
Links: A High-Dimensional Online Clustering Method
Philip Andrew Mansfield, Quan Wang, Carlton Downey +2
We present a novel algorithm, called Links, designed to perform online clustering on unit vectors in a high-dimensional Euclidean space. The algorithm is appropriate when it is nec…
Predictive State Recurrent Neural Networks
Carlton Downey, Ahmed Hefny, Boyue Li +2
We present a new model, Predictive State Recurrent Neural Networks (PSRNNs), for filtering and prediction in dynamical systems. PSRNNs draw on insights from both Recurrent Neural N…
Practical Learning of Predictive State Representations
Carlton Downey, Ahmed Hefny, Geoffrey Gordon
Over the past decade there has been considerable interest in spectral algorithms for learning Predictive State Representations (PSRs). Spectral algorithms have appealing theoretica…