Dylan Green

According to our database, Dylan Green authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Max Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley

CoRR, 2024

Online Continual Learning of Video Diffusion Models From a Single Video Stream.

Jason Yoo, Dylan Green, Geoff Pleiss, Frank Wood

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, Dylan Green, Saeid Naderiparizi, Xiaoxuan Liang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood

CoRR, 2024

Semantically Consistent Video Inpainting with Conditional Diffusion Models.

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

CoRR, 2024

Complex-Valued Signal Recovery using the Bayesian LASSO.

Dylan Green, Jonathan Lindbloom, Anne Gelb

CoRR, 2024

Nearest Neighbour Score Estimators for Diffusion Generative Models.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior

CoRR, 2023

Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images.

Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood

CoRR, 2023

A Diffusion-Model of Joint Interactive Navigation.

Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images.

Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2021

Sparsity-Based Recovery of Three-Dimensional Photoacoustic Images from Compressed Single-Shot Optical Detection.

Dylan Green, Anne Gelb, Geoffrey P. Luke

J. Imaging, 2021