Combining multiple visual processing streams for locating and classifying objects in video. - Dylan M. Paiton; Steven P. Brumby; Garrett T. Kenyon; Gerd J. Kunde; Kris D. Peterson; Mohammed I. Ham; Peter F. Schultz; John S. George (SSIAI, 2012)

Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication. - Sheng Y. Lundquist; Dylan M. Paiton; Brennan M. Nowers; Peter F. Schultz; Steven P. Brumby; Anders M. Jorgensen; Garrett T. Kenyon (IJCNN, 2013)

Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels. - Peter F. Schultz; Dylan M. Paiton; Wei Lu; Garrett T. Kenyon (CoRR, 2014)

A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations. - Dylan M. Paiton; Sheng Y. Lundquist; William Shainin; Xinhua Zhang; Peter F. Schultz; Garrett T. Kenyon (BICT, 2015)

Sparse encoding of binocular images for depth inference. - Sheng Y. Lundquist; Dylan M. Paiton; Peter F. Schultz; Garrett T. Kenyon (SSIAI, 2016)

Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage. - Ryan Zarcone; Dylan M. Paiton; Alex Anderson; Jesse H. Engel; H.-S. Philip Wong; Bruno A. Olshausen (DCC, 2018)

The Sparse Manifold Transform. - Yubei Chen; Dylan M. Paiton; Bruno A. Olshausen (NeurIPS, 2018)

Subspace Locally Competitive Algorithms. - Dylan M. Paiton; Steven Shepard; Kwan Ho Ryan Chan; Bruno A. Olshausen (NICE, 2020)

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. - David A. Klindt; Lukas Schott; Yash Sharma 001; Ivan Ustyuzhaninov; Wieland Brendel; Matthias Bethge; Dylan M. Paiton (ICLR, 2021)