Nicholas R. Waytowich

96 papers A* 5A 6B 2C 2Misc 1Journal 62Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mil-SCORE: Benchmarking Long-Context Geospatial Reasoning and Planning in Large Language Models. CoRR Aadi Palnitkar, Mingyang Mao, Nicholas R. Waytowich, Vinicius G. Goecks, Tinoosh Mohsenin, Xiaomin Lin
2025	J	`jnl`	"New" Challenges for Future C2: Commanding Soldier-Machine Partnerships. CoRR Anna Madison, Kaleb McDowell, Vinicius G. Goecks, Jeff Hansberger, Ceili M. Olney, Claire Ahern, Amar R. Marathe, Nicholas R. Waytowich, Christian Kenney, Christopher Kelshaw
2025	A	`conf`	Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation. UMAP Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas R. Waytowich, Nirmalya Roy
2025	J	`jnl`	CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale. CoRR Jonathan Hyun, Nicholas R. Waytowich, Boyuan Chen
2025	J	`jnl`	CREW-Wildfire: Benchmarking Agentic Multi-Agent Collaborations at Scale. Trans. Mach. Learn. Res. Jonathan Hyun, Nicholas R. Waytowich, Boyuan Chen
2025	J	`jnl`	EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment. CoRR Mikolaj Walczak, Romina Aalishah, Wyatt Mackey, Brittany Story, David L. Boothe, Nicholas R. Waytowich, Xiaomin Lin, Tinoosh Mohsenin
2025	J	`jnl`	Hybrid Team Tetris: A New Platform For Hybrid Multi-Agent, Multi-Human Teaming. CoRR Kaleb McDowell, Nicholas R. Waytowich, Javier O. Garcia, Stephen M. Gordon, Bryce Bartlett, Jeremy Gaston
2025	J	`jnl`	Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm. CoRR Chak Lam Shek, Amrit Singh Bedi, Anjon Basak, Ellen R. Novoseller, Nicholas R. Waytowich, Priya Narayanan, Dinesh Manocha, Pratap Tokekar
2025	J	`jnl`	Memento: Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation. CoRR Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas R. Waytowich, Nirmalya Roy
2025	J	`jnl`	Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding. CoRR Mingyang Mao, Mariela M. Perez-Cabarcas, Utteja Kallakuri, Nicholas R. Waytowich, Xiaomin Lin, Tinoosh Mohsenin
2025	J	`jnl`	Multi-Task Reward Learning from Human Ratings. CoRR Mingkang Wu, Devin White, Evelyn Rose, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao
2025	J	`jnl`	Performance Optimization of Ratings-Based Reinforcement Learning. CoRR Evelyn Rose, Devin White, Mingkang Wu, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao
2025	J	`jnl`	R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations. CoRR Connor Mattson, Varun Raveendra, Ellen R. Novoseller, Nicholas R. Waytowich, Vernon J. Lawhern, Daniel S. Brown
2025	J	`jnl`	RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning. CoRR Mingkang Wu, Devin White, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao
2024	J	`jnl`	Adversarial Attacks on Reinforcement Learning Agents for Command and Control. CoRR Ahaan Dabholkar, James Zachary Hare, Mark R. Mittrick, John T. Richardson, Nicholas R. Waytowich, Priya Narayanan, Saurabh Bagchi
2024	J	`jnl`	Atari-GPT: Investigating the Capabilities of Multimodal Large Language Models as Low-Level Policies for Atari Games. CoRR Nicholas R. Waytowich, Devin White, MD Sunbeam, Vinicius G. Goecks
2024	—	`conf`	COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations. ICMCIS Vinicius G. Goecks, Nicholas R. Waytowich
2024	J	`jnl`	COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations. CoRR Vinicius G. Goecks, Nicholas R. Waytowich
2024	C	`conf`	EEGAmp+: Investigating the Efficacy of Functional Connectivity for Detecting Events in Low Resolution EEG. MobiQuitous Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas R. Waytowich, Nirmalya Roy
2024	A*	`conf`	GUIDE: Real-Time Human-Shaped Agents. NeurIPS Lingyu Zhang, Zhengran Ji, Nicholas R. Waytowich, Boyuan Chen
2024	J	`jnl`	GUIDE: Real-Time Human-Shaped Agents. CoRR Lingyu Zhang, Zhengran Ji, Nicholas R. Waytowich, Boyuan Chen
2024	A*	`conf`	Rating-Based Reinforcement Learning. AAAI Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
2024	—	`conf`	Scalable Interactive Machine Learning for Future Command and Control. ICMCIS Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell
2024	J	`jnl`	Scalable Interactive Machine Learning for Future Command and Control. CoRR Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell
2024	J	`jnl`	StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. CoRR Sean Kulinski, Nicholas R. Waytowich, James Zachary Hare, David I. Inouye
2023	J	`jnl`	DIP-RL: Demonstration-Inferred Preference Learning in Minecraft. CoRR Ellen R. Novoseller, Vinicius G. Goecks, David Watkins, Josh Miller, Nicholas R. Waytowich
2023	J	`jnl`	DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios. CoRR Vinicius G. Goecks, Nicholas R. Waytowich
2023	J	`jnl`	Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions. CoRR Prashant Ganesh, J. Humberto Ramos, Vinicius G. Goecks, Jared Paquet, Matthew Longmire, Nicholas R. Waytowich, Kevin M. Brink
2023	J	`jnl`	Rating-based Reinforcement Learning. CoRR Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
2023	A*	`conf`	StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. CVPR Sean Kulinski, Nicholas R. Waytowich, James Zachary Hare, David I. Inouye
2023	J	`jnl`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
2022	J	`jnl`	A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin
2022	—	`conf`	An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation. AICAS Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin
2022	—	`conf`	Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. AAAI Spring Symposium: MAKE Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash
2022	J	`jnl`	E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. Aidin Shiri, Uttej Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2022	J	`jnl`	Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems. IEEE Micro Aidin Shiri, Mozhgan Navardi, Tejaswini Manjunath, Nicholas R. Waytowich, Tinoosh Mohsenin
2022	J	`jnl`	Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II. CoRR Nicholas R. Waytowich, James Zachary Hare, Vinicius G. Goecks, Mark R. Mittrick, John T. Richardson, Anjon Basak, Derrik E. Asher
2022	A	`conf`	Mobile Manipulation Leveraging Multiple Views. IROS David Watkins-Valls, Peter K. Allen, Henrique Maia, Madhavan Seshadri, Jonathan Sanabria, Nicholas R. Waytowich, Jacob Varley
2022	J	`jnl`	Multiple View Performers for Shape Completion. CoRR David Watkins-Valls, Peter E. Allen, Krzysztof Choromanski, Jacob Varley, Nicholas R. Waytowich
2022	C	`conf`	PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment. ICMLA Indrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas R. Waytowich
2022	J	`jnl`	Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. CoRR Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
2022	J	`jnl`	TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human-Drone Teams. CoRR Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas R. Waytowich
2022	J	`jnl`	Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control. Robotics Brian Cesar-Tondreau, Garrett Warnell, Kevin Kochersberger, Nicholas R. Waytowich
2022	J	`jnl`	Towards an Interpretable Hierarchical Agent Framework using Semantic Goals. CoRR Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	J	`jnl`	A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. Mohit Khatwani, Hasib-Al Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin
2021	J	`jnl`	An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin
2021	—	`conf`	An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	J	`jnl`	Automatic Goal Generation using Dynamical Distance Learning. CoRR Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates
2021	J	`jnl`	Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. CoRR Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Bharat Prakash
2021	J	`jnl`	Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. CoRR Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2021	J	`jnl`	Improving Autonomous Robotic Navigation Using Imitation Learning. Frontiers Robotics AI Brian Cesar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
2021	J	`jnl`	Interactive Hierarchical Guidance using Language. CoRR Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	J	`jnl`	Mobile Manipulation Leveraging Multiple Views. CoRR David Watkins-Valls, Peter K. Allen, Henrique Maia, Madhavan Seshadri, Jonathan Sanabria, Nicholas R. Waytowich, Jacob Varley
2021	J	`jnl`	On games and simulators as a platform for development of artificial intelligence for command and control. CoRR Vinicius G. Goecks, Nicholas R. Waytowich, Derrik E. Asher, Song Jun Park, Mark R. Mittrick, John T. Richardson, Manuel Vindiola, Anne Logie, Mark Dennison, Theron Trout, Priya Narayanan, Alexander Kott
2021	—	`conf`	Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. NeurIPS (Competition and Demos) Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
2021	—	`conf`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
2020	—	`conf`	Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin
2020	—	`conf`	Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin
2020	A	`conf`	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. AAMAS Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2020	A	`conf`	Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation. IROS David Watkins-Valls, Jingxi Xu, Nicholas R. Waytowich, Peter K. Allen
2020	—	`conf`	PODNet: A Neural Network for Discovery of Plannable Options. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
2020	J	`jnl`	The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes. IEEE Trans. Signal Process. Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan
2020	A	`conf`	Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents. AAMAS Divya Ramesh, Anthony Z. Liu, Andres J. Echeverria, Jean Y. Song, Nicholas R. Waytowich, Walter S. Lasecki
2019	J	`jnl`	A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. CoRR Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell
2019	A*	`conf`	Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. AAAI Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2019	—	`conf`	Evaluating the Coordination of Agents in Multi-agent Reinforcement Learning. IHSI Sean L. Barton, Erin G. Zaroukian, Derrik E. Asher, Nicholas R. Waytowich
2019	J	`jnl`	Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. CoRR Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell
2019	Misc	`conf`	Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. FLAIRS Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
2019	J	`jnl`	Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. CoRR Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
2019	J	`jnl`	Inferring and Learning Multi-Robot Policies by Observing an Expert. CoRR Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt
2019	J	`jnl`	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. CoRR Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2019	—	`conf`	Investigating Evoked EEG Responses to Targets Presented in Virtual Reality. EMBC Pawan Lapborisuth, Josef Faller, Jonathan Koss, Nicholas R. Waytowich, Jonathan Touryan, Paul Sajda
2019	A	`conf`	Learning Behaviors from a Single Video Demonstration Using Human Feedback. AAMAS Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
2019	J	`jnl`	Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation. CoRR David Watkins-Valls, Jingxi Xu, Nicholas R. Waytowich, Peter K. Allen
2019	J	`jnl`	Learning from Observations Using a Single Video Demonstration and Human Feedback. CoRR Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
2019	J	`jnl`	On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah
2019	—	`conf`	On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
2019	J	`jnl`	On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
2019	J	`jnl`	PODNet: A Neural Network for Discovery of Plannable Options. CoRR Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
2018	J	`jnl`	Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. CoRR Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel
2018	—	`conf`	Coordination-driven Learning in Multi-agent Problem Spaces. AAAI Fall Symposium: ALEC Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher
2018	J	`jnl`	Coordination-driven learning in multi-agent problem spaces. CoRR Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher
2018	J	`jnl`	Cycle-of-Learning for Autonomous Systems from Human Interaction. CoRR Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern
2018	A*	`conf`	Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. AAAI Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2018	J	`jnl`	Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. CoRR Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2018	—	`conf`	Energy Efficient Convolutional Neural Networks for EEG Artifact Detection. BioCAS Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich
2018	—	`conf`	Measuring Collaborative Emergent Behavior in Multi-agent Reinforcement Learning. IHSED Sean L. Barton, Nicholas R. Waytowich, Erin G. Zaroukian, Derrik E. Asher
2018	J	`jnl`	Measuring collaborative emergent behavior in multi-agent reinforcement learning. CoRR Sean L. Barton, Nicholas R. Waytowich, Erin G. Zaroukian, Derrik E. Asher
2017	J	`jnl`	Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. CoRR Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2017	—	`conf`	Development of an extensible SSVEP-BCI software platform and application to wheelchair control. NER Nicholas R. Waytowich, Dean J. Krusienski
2016	B	`conf`	Collaborative image triage with humans and computer vision. SMC Addison W. Bohannon, Nicholas R. Waytowich, Vernon J. Lawhern, Brian M. Sadler, Brent J. Lance
2016	J	`jnl`	Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon, Vernon J. Lawhern, Brent J. Lance, David C. Jangraw
2016	J	`jnl`	EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. CoRR Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance
2016	J	`jnl`	Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli. IEEE Trans. Hum. Mach. Syst. Nicholas R. Waytowich, Dean J. Krusienski
2016	B	`conf`	Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces. SMC Nicholas R. Waytowich, Josef Faller, Javier O. Garcia, Jean M. Vettel, Paul Sajda
2011	—	`conf`	The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control. HCI (20) Garett D. Johnson, Nicholas R. Waytowich, Dean J. Krusienski