Nicholas Waytowich
Nicholas Waytowich
AI Research Scientist, U.S. Army Research Laboratory; Columbia University
Verified email at - Homepage
Cited by
Cited by
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
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
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
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
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
Integrating behavior cloning and reinforcement learning for improved performance in dense and sparse reward environments
VG Goecks, GM Gremillion, VJ Lawhern, J Valasek, NR Waytowich
arXiv preprint arXiv:1910.04281, 2019
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
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
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
Eco-friendly management of chilli anthracnose (Colletotrichum capsici).
MM Rashid, MH Kabir, MM Hossain, MR Bhuiyan, MAI Khan
International Journal of Plant Pathology 6 (1), 1-11, 2015
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
Measuring collaborative emergent behavior in multi-agent reinforcement learning
SL Barton, NR Waytowich, E Zaroukian, DE Asher
Human Systems Engineering and Design: Proceedings of the 1st International …, 2019
Spatial decoupling of targets and flashing stimuli for visual brain–computer interfaces
N Waytowich, D Krusienski
Journal of Neural Engineering 12 (3), 2015
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
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints.
B Prakash, NR Waytowich, A Ganesan, T Oates, T Mohsenin
SafeAI@ AAAI, 153-161, 2020
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
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
On games and simulators as a platform for development of artificial intelligence for command and control
VG Goecks, N Waytowich, DE Asher, S Jun Park, M Mittrick, J Richardson, ...
The Journal of Defense Modeling and Simulation 20 (4), 495-508, 2023
A flexible multichannel EEG artifact identification processor using depthwise-separable convolutional neural networks
M Khatwani, HA Rashid, H Paneliya, M Horton, N Waytowich, ...
ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (2), 1-21, 2021
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