Jonathan Wilder Lavington

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Nearest Neighbour

Imitation Learning

Constrained Optimization

Top Venues

Publications

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
Nearest Neighbour Score Estimators for Diffusion Generative Models. CoRR (2024)
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
Semantically Consistent Video Inpainting with Conditional Diffusion Models. CoRR (2024)
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
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters. CoRR (2024)
Frederik Kunstner, Jacques Chen, Jonathan Wilder Lavington, Mark Schmidt
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be. ICLR (2023)
Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux
Target-based Surrogates for Stochastic Optimization. CoRR (2023)
Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
Critic Sequential Monte Carlo. ICLR (2023)
Frederik Kunstner, Jacques Chen, Jonathan Wilder Lavington, Mark Schmidt
Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be. CoRR (2023)
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
Conditional Permutation Invariant Flows. Trans. Mach. Learn. Res. 2023 (2023)
Amrutha Varshini Ramesh, Aaron Mishkin, Mark Schmidt, Yihan Zhou, Jonathan Wilder Lavington, Jennifer She
Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm. CoRR (2023)
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
A Diffusion-Model of Joint Interactive Navigation. NeurIPS (2023)
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images. ITSC (2023)
Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux
Target-based Surrogates for Stochastic Optimization. ICML (2023)
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
A Diffusion-Model of Joint Interactive Navigation. CoRR (2023)
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images. CoRR (2023)
Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models. CoRR (2023)
Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
Vehicle Type Specific Waypoint Generation. CoRR (2022)
Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
Critic Sequential Monte Carlo. CoRR (2022)
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
Conditional Permutation Invariant Flows. CoRR (2022)
Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt
Improved Policy Optimization for Online Imitation Learning. CoRR (2022)
Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt
Improved Policy Optimization for Online Imitation Learning. CoLLAs (2022)
Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
Vehicle Type Specific Waypoint Generation. IROS (2022)
Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
Robust Asymmetric Learning in POMDPs. ICML (2021)