Nicholas Waytowich
Nicholas Waytowich
AI Research Scientist, U.S. Army Research Laboratory; Columbia University
Подтвержден адрес электронной почты в домене - Главная страница
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
VJ Lawhern, AJ Solon, NR Waytowich, SM Gordon, CP Hung, BJ Lance
Journal of neural engineering 15 (5), 056013, 2018
Deep tamer: Interactive agent shaping in high-dimensional state spaces
G Warnell, N Waytowich, V Lawhern, P Stone
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Discriminative feature extraction via multivariate linear regression for SSVEP-based BCI
H Wang, Y Zhang, NR Waytowich, DJ Krusienski, G Zhou, J Jin, X Wang, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (5 …, 2016
Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials
N Waytowich, VJ Lawhern, JO Garcia, J Cummings, J Faller, P Sajda, ...
Journal of neural engineering 15 (6), 066031, 2018
Spectral transfer learning using information geometry for a user-independent brain-computer interface
NR Waytowich, VJ Lawhern, AW Bohannon, KR Ball, BJ Lance
Frontiers in neuroscience 10, 430, 2016
Robot application of a brain computer interface to staubli tx40 robots-early stages
N Waytowich, A Henderson, D Krusienski, D Cox
2010 World Automation Congress, 1-6, 2010
Unsupervised adaptive transfer learning for steady-state visual evoked potential brain-computer interfaces
NR Waytowich, J Faller, JO Garcia, JM Vettel, P Sajda
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
Optimization of checkerboard spatial frequencies for steady-state visual evoked potential brain–computer interfaces
NR Waytowich, Y Yamani, DJ Krusienski
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (6 …, 2016
Spatial decoupling of targets and flashing stimuli for visual brain–computer interfaces
N Waytowich, D Krusienski
Journal of Neural Engineering 12 (3), 2015
Efficiently combining human demonstrations and interventions for safe training of autonomous systems in real-time
VG Goecks, GM Gremillion, VJ Lawhern, J Valasek, NR Waytowich
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2462-2470, 2019
Measuring collaborative emergent behavior in multi-agent reinforcement learning
SL Barton, NR Waytowich, E Zaroukian, DE Asher
International Conference on Human Systems Engineering and Design: Future …, 2018
Cortically coupled computing: A new paradigm for synergistic human-machine interaction
S Saproo, J Faller, V Shih, P Sajda, NR Waytowich, A Bohannon, ...
Computer 49 (9), 60-68, 2016
Energy efficient convolutional neural networks for eeg artifact detection
M Khatwani, M Hosseini, H Paneliya, T Mohsenin, WD Hairston, ...
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
Eegnet: A compact convolutional network for eeg-based brain-computer interfaces
JL Vernon, AJ Solon, NR Waytowich, SM Gordon, CP Hung, BJ Lance
arXiv preprint arXiv:1611.08024 7, 2016
Extending the discrete selection capabilities of the P300 speller to goal-oriented robotic arm control
GD Johnson, NR Waytowich, DJ Cox, DJ Krusienski
2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2010
Improving safety in reinforcement learning using model-based architectures and human intervention
B Prakash, M Khatwani, N Waytowich, T Mohsenin
The Thirty-Second International Flairs Conference, 2019
Cycle-of-learning for autonomous systems from human interaction
NR Waytowich, VG Goecks, VJ Lawhern
arXiv preprint arXiv:1808.09572, 2018
On the use of deep autoencoders for efficient embedded reinforcement learning
B Prakash, M Horton, NR Waytowich, WD Hairston, T Oates, T Mohsenin
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 507-512, 2019
Learning your way without map or compass: Panoramic target driven visual navigation
D Watkins-Valls, J Xu, N Waytowich, P Allen
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Multiclass steady-state visual evoked potential frequency evaluation using chirp-modulated stimuli
NR Waytowich, DJ Krusienski
IEEE Transactions on Human-Machine Systems 46 (4), 593-600, 2016
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