Matthew T. Harrison

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 7

Top Topics

Imitation Learning

Gaussian Process Regression

Top Venues

Publications

Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
Optimizing Crop Management with Reinforcement Learning and Imitation Learning. IJCAI (2023)
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
Optimizing Crop Management with Reinforcement Learning and Imitation Learning. AAMAS (2023)
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
Optimizing Crop Management with Reinforcement Learning and Imitation Learning. CoRR (2022)
Evan M. Dastin-van Rijn, Nicole R. Provenza, Matthew T. Harrison, David A. Borton
How do packet losses affect measures of averaged neural signalsƒ. EMBC (2021)
Michael C. Burkhart, David M. Brandman, Brian Franco, Leigh R. Hochberg, Matthew T. Harrison
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models. Neural Comput. 32 (5) (2020)
David M. Brandman, Michael C. Burkhart, Jessica N. Kelemen, Brian Franco, Matthew T. Harrison, Leigh R. Hochberg
Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression. Neural Comput. 30 (11) (2018)
Matthew T. Harrison, Asohan Amarasingham, Wilson Truccolo
Spatiotemporal Conditional Inference and Hypothesis Tests for Neural Ensemble Spiking Precision. Neural Comput. 27 (1) (2015)
Jeffrey W. Miller, Matthew T. Harrison
Inconsistency of Pitman-Yor process mixtures for the number of components. J. Mach. Learn. Res. 15 (1) (2014)
Matthew T. Harrison
Accelerated Spike Resampling for Accurate Multiple Testing Controls. Neural Comput. 25 (2) (2013)
Jeffrey W. Miller, Matthew T. Harrison
A simple example of Dirichlet process mixture inconsistency for the number of components. NIPS (2013)
Jeffrey W. Miller, Matthew T. Harrison
Exact Enumeration and Sampling of Matrices with Specified Margins CoRR (2011)
Matthew T. Harrison, Stuart Geman
A Rate and History-Preserving Resampling Algorithm for Neural Spike Trains. Neural Comput. 21 (5) (2009)
Matthew T. Harrison, Ioannis Kontoyiannis
Estimation of the Rate-Distortion Function. IEEE Trans. Inf. Theory 54 (8) (2008)
Matthew T. Harrison
The Generalized Asymptotic Equipartition Property: Necessary and Sufficient Conditions. IEEE Trans. Inf. Theory 54 (7) (2008)
Matthew T. Harrison, Ioannis Kontoyiannis
Estimation of the Rate-Distortion Function CoRR (2007)
Matthew T. Harrison
The Generalized Asymptotic Equipartition Property: Necessary and Sufficient Conditions CoRR (2007)
Matthew T. Harrison, Ioannis Kontoyiannis
On Estimating the Rate-Distortion Function. ISIT (2006)
Mokshay Madiman, Matthew T. Harrison, Ioannis Kontoyiannis
Minimum description length vs. maximum likelihood in lossy data compression. ISIT (2004)
Paul K. Stockmeyer, C. Douglass Bateman, James W. Clark, Cyrus R. Eyster, Matthew T. Harrison, Nicholas A. Loehr, Patrick J. Rodriguez, Joseph R. Simmons III
Exchanging disks in the tower of hanoi. Int. J. Comput. Math. 59 (1-2) (1995)