activity
20172021
most citedPredictive State Recurrent Neural Networks

15 citations · 33 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Identifying Driver Interactions via Conditional Behavior Prediction

Ekaterina Tolstaya, Reza Mahjourian, Carlton Downey +3

Interactive driving scenarios, such as lane changes, merges and unprotected turns, are some of the most challenging situations for autonomous driving. Planning in interactive scena…

stat.ML2018

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…

stat.ML201813 cited

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…

stat.ML201715 cited

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…

stat.ML20175 cited

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…