J. Wilder Lavington

According to our database, J. Wilder Lavington authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

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

CoRR, 2024

2023

Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm.

Amrutha Varshini Ramesh, Aaron Mishkin, Mark Schmidt, Yihan Zhou, Jonathan Wilder Lavington, Jennifer She

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, 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

Target-based Surrogates for Stochastic Optimization.

Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux

Proceedings of the International Conference on Machine Learning, 2023

Critic Sequential Monte Carlo.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be.

Frederik Kunstner, Jacques Chen, Jonathan Wilder Lavington, Mark Schmidt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Conditional Permutation Invariant Flows.

Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood

CoRR, 2022

Vehicle Type Specific Waypoint Generation.

Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Improved Policy Optimization for Online Imitation Learning.

Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Robust Asymmetric Learning in POMDPs.

Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood

Proceedings of the 38th International Conference on Machine Learning, 2021