Sparsity-Based Recovery of Three-Dimensional Photoacoustic Images from Compressed Single-Shot Optical Detection. - Dylan Green; Anne Gelb; Geoffrey P. Luke (J. Imaging, 2021)

Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images. - Yunpeng Liu 007; Vasileios Lioutas; Jonathan Wilder Lavington; Matthew Niedoba; Justice Sefas; Setareh Dabiri; Dylan Green; Xiaoxuan Liang 001; Berend Zwartsenberg; Adam Scibior; Frank Wood (ITSC, 2023)

A Diffusion-Model of Joint Interactive Navigation. - Matthew Niedoba; Jonathan Wilder Lavington; Yunpeng Liu 007; Vasileios Lioutas; Justice Sefas; Xiaoxuan Liang 001; Dylan Green; Setareh Dabiri; Berend Zwartsenberg; Adam Scibior; Frank Wood (NeurIPS, 2023)

Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images. - Yunpeng Liu 007; Vasileios Lioutas; Jonathan Wilder Lavington; Matthew Niedoba; Justice Sefas; Setareh Dabiri; Dylan Green; Xiaoxuan Liang 001; Berend Zwartsenberg; Adam Scibior; Frank Wood (CoRR, 2023)

Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models. - Setareh Dabiri; Vasileios Lioutas; Berend Zwartsenberg; Yunpeng Liu 007; Matthew Niedoba; Xiaoxuan Liang 001; Dylan Green; Justice Sefas; Jonathan Wilder Lavington; Frank Wood; Adam Scibior (CoRR, 2023)

Nearest Neighbour Score Estimators for Diffusion Generative Models. - Matthew Niedoba; Dylan Green; Saeid Naderiparizi; Vasileios Lioutas; Jonathan Wilder Lavington; Xiaoxuan Liang 001; Yunpeng Liu 007; Ke Zhang; Setareh Dabiri; Adam Scibior; Berend Zwartsenberg; Frank Wood (ICML, 2024)

CLOUD-D RF: Cloud-based Distributed Radio Frequency Heterogeneous Spectrum Sensing. - Dylan Green; Caleb McIrvin; River Thaboun; Cora Wemlinger; Joseph Risi; Alyse M. Jones; Maymoonah Toubeh; William C. Headley (MobiCom, 2024)

Complex-Valued Signal Recovery using the Bayesian LASSO. - Dylan Green; Jonathan Lindbloom; Anne Gelb (CoRR, 2024)

Semantically Consistent Video Inpainting with Conditional Diffusion Models. - Dylan Green; William Harvey 002; Saeid Naderiparizi; Matthew Niedoba; Yunpeng Liu 007; Xiaoxuan Liang 001; Jonathan Wilder Lavington; Ke Zhang; Vasileios Lioutas; Setareh Dabiri; Adam Scibior; Berend Zwartsenberg; et al. (CoRR, 2024)

TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters. - Jonathan Wilder Lavington; Ke Zhang; Vasileios Lioutas; Matthew Niedoba; Yunpeng Liu 007; Dylan Green; Saeid Naderiparizi; Xiaoxuan Liang 001; Setareh Dabiri; Adam Scibior; Berend Zwartsenberg; Frank Wood (CoRR, 2024)

Online Continual Learning of Video Diffusion Models From a Single Video Stream. - Jason Yoo; Dylan Green; Geoff Pleiss; Frank Wood (CoRR, 2024)

Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative Values. - Dylan Green; Stephen Bailey (IEEE Trans. Signal Process., 2024)

A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. - Sriniketh Vangaru; Daniel Rosen; Dylan Green; Raphael Rodriguez; Maxwell Wiecek; Amos Johnson; Alyse M. Jones; William C. Headley (CCNC, 2025)

Demonstration of the Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. - Sriniketh Vangaru; Daniel Rosen; Dylan Green; Raphael Rodriguez; Maxwell Wiecek; Amos Johnson; Alyse M. Jones; William C. Headley (CCNC, 2025)

Video-Integrated System for Testing Augmented Reality (VISTA): A Rapid Testing Methodology for AR Platforms. - Dylan Green; Kenton Bach; Audrey L. Aldridge; Christa M. Chewar; Michael Novitzky; Thomas A. Babbitt (HCI (60), 2025)

Complex-Valued Signal Recovery Using a Generalized Bayesian LASSO. - Dylan Green; Jonathan Lindbloom; Anne Gelb (SIAM/ASA J. Uncertain. Quantification, 2025)

Gender Fairness of Machine Learning Algorithms for Pain Detection. - Dylan Green; Yuting Shang; Jiaee Cheong; Yang Liu; Hatice Gunes (CoRR, 2025)