Dylan Green

23 papers A* 3B 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications.
CCNC
Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Maxwell Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley
2025 J jnl
Application and Validation of Geospatial Foundation Model Data for the Prediction of Health Facility Programmatic Outputs - A Case Study in Malawi.
CoRR
Lynn Metz, Rachel Haggard, Michael Moszczynski, Samer Asbah, Chris Mwase, Patricia Khomani, Tyler Smith, Hannah Cooper, Annie Mwale, Arbaaz Muslim, Gautam Prasad, Mimi Sun, Tomer Shekel, Joydeep Paul, Anna Carter, Shravya Shetty, Dylan Green
2025 J jnl
Complex-Valued Signal Recovery Using a Generalized Bayesian LASSO.
SIAM/ASA J. Uncertain. Quantification
Dylan Green, Jonathan Lindbloom, Anne Gelb
2025 — conf
Demonstration of the Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications.
CCNC
Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Maxwell Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley
2025 B conf
Gender Fairness of Machine Learning Algorithms for Pain Detection.
FG
Dylan Green, Yuting Shang, Jiaee Cheong, Yang Liu, Hatice Gunes
2025 J jnl
Gender Fairness of Machine Learning Algorithms for Pain Detection.
CoRR
Dylan Green, Yuting Shang, Jiaee Cheong, Yang Liu, Hatice Gunes
2025 — conf
Video-Integrated System for Testing Augmented Reality (VISTA): A Rapid Testing Methodology for AR Platforms.
HCI (60)
Dylan Green, Kenton Bach, Audrey L. Aldridge, Christa M. Chewar, Michael Novitzky, Thomas A. Babbitt
2024 J jnl
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications.
CoRR
Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Max Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley
2024 J jnl
Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative Values.
IEEE Trans. Signal Process.
Dylan Green, Stephen Bailey
2024 A* conf
CLOUD-D RF: Cloud-based Distributed Radio Frequency Heterogeneous Spectrum Sensing.
MobiCom
Dylan Green, Caleb McIrvin, River Thaboun, Cora Wemlinger, Joseph Risi, Alyse M. Jones, Maymoonah Toubeh, William C. Headley
2024 J jnl
Complex-Valued Signal Recovery using the Bayesian LASSO.
CoRR
Dylan Green, Jonathan Lindbloom, Anne Gelb
2024 A* conf
Nearest Neighbour Score Estimators for Diffusion Generative Models.
ICML
Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024 J jnl
Nearest Neighbour Score Estimators for Diffusion Generative Models.
CoRR
Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024 J jnl
Online Continual Learning of Video Diffusion Models From a Single Video Stream.
CoRR
Jason Yoo, Dylan Green, Geoff Pleiss, Frank Wood
2024 J jnl
Semantically Consistent Video Inpainting with Conditional Diffusion Models.
CoRR
Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024 J jnl
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters.
CoRR
Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Matthew Niedoba, Yunpeng Liu, Dylan Green, Saeid Naderiparizi, Xiaoxuan Liang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2023 A* conf
A Diffusion-Model of Joint Interactive Navigation.
NeurIPS
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023 J jnl
A Diffusion-Model of Joint Interactive Navigation.
CoRR
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023 J jnl
Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative Values.
CoRR
Dylan Green, Stephen Bailey
2023 J jnl
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models.
CoRR
Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior
2023 J jnl
Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images.
CoRR
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023 — conf
Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images.
ITSC
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
2021 J jnl
Sparsity-Based Recovery of Three-Dimensional Photoacoustic Images from Compressed Single-Shot Optical Detection.
J. Imaging
Dylan Green, Anne Gelb, Geoffrey P. Luke