Les Atlas — accepted AI-conference papers

2023

Estimating and Analyzing Neural Information flow using Signal Processing on Graphs

Felix Schwock, Julien A. Bloch, Les Atlas, Shima Abadi, Azadeh Yazdan-Shahmorad

ICASSP 2023accepted

Correlating neural communication in brain networks with behavior and cognition can provide fundamental insights into the functionality of both healthy and diseased brains. We demonstrate how communication in the brain can be estimated from recorded neural activity using concepts from graph signal pr…

Cited by 0 Source ↗Scholar ↗

2016

Full-Capacity Unitary Recurrent Neural Networks

Scott Wisdom, Thomas Powers, John Hershey, Jonathan Le Roux, Les Atlas

NeurIPS 2016poster

Recurrent neural networks are powerful models for processing sequential data, but they are generally plagued by vanishing and exploding gradient problems. Unitary recurrent neural networks (uRNNs), which use unitary recurrence matrices, have recently been proposed as a means to avoid these issues. H…

Cited by 384 Source ↗PDF ↗code ↗Scholar ↗