Berend Zwartsenberg

23 papers A* 6A 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improved Constrained Generation by Bridging Pretrained Generative Models. CoRR Xiaoxuan Liang, Saeid Naderiparizi, Yunpeng Liu, Berend Zwartsenberg, Frank Wood
2025	A*	`conf`	Constrained Generative Modeling with Manually Bridged Diffusion Models. AAAI Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Constrained Generative Modeling with Manually Bridged Diffusion Models. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Control-ITRA: Controlling the Behavior of a Driving Model. CoRR Vasileios Lioutas, Adam Scibior, Matthew Niedoba, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Rolling Ahead Diffusion for Traffic Scene Simulation. CoRR Yunpeng (Larry) Liu, Matthew Niedoba, William Harvey, Adam Scibior, Berend Zwartsenberg, Frank Wood
2025	A*	`conf`	Towards a Mechanistic Explanation of Diffusion Model Generalization. ICML Matthew Niedoba, Berend Zwartsenberg, Kevin Patrick Murphy, Frank Wood
2024	A*	`conf`	Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance. ICML Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood
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`	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
2024	J	`jnl`	Towards a Mechanistic Explanation of Diffusion Model Generalization. CoRR Matthew Niedoba, Berend Zwartsenberg, Kevin Murphy, 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`	Conditional Permutation Invariant Flows. Trans. Mach. Learn. Res. Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
2023	A*	`conf`	Critic Sequential Monte Carlo. ICLR Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
2023	J	`jnl`	Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
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
2022	J	`jnl`	Conditional Permutation Invariant Flows. CoRR Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
2022	J	`jnl`	Critic Sequential Monte Carlo. CoRR Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
2022	A	`conf`	Probabilistic surrogate networks for simulators with unbounded randomness. UAI Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood