Adam Scibior

According to our database, Adam Scibior authored at least 27 papers between 2015 and 2024.

Collaborative distances:

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

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

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

Conditional Permutation Invariant Flows.

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

Trans. Mach. Learn. Res., 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

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

2022

TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference.

Vasileios Lioutas, Adam Scibior, Frank Wood

Trans. Mach. Learn. Res., 2022

NeurIPS 2022 Competition: Driving SMARTS.

Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen

CoRR, 2022

Probabilistic surrogate networks for simulators with unbounded randomness.

Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood

Proceedings of the Uncertainty in Artificial Intelligence, 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

Amortized Rejection Sampling in Universal Probabilistic Programming.

Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Planning as Inference in Epidemiological Dynamics Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri

Frontiers Artif. Intell., 2021

Differentiable Particle Filtering without Modifying the Forward Pass.

Adam Scibior, Vaden Masrani, Frank Wood

CoRR, 2021

Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation.

Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 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

2020

Planning as Inference in Epidemiological Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri

CoRR, 2020

Semi-supervised Sequential Generative Models.

Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.

Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood

CoRR, 2019

2018

Denotational validation of higher-order Bayesian inference.

Adam Scibior, Ohad Kammar, Matthijs Vákár, Sam Staton, Hongseok Yang, Yufei Cai, Klaus Ostermann, Sean K. Moss, Chris Heunen, Zoubin Ghahramani

Proc. ACM Program. Lang., 2018

Functional programming for modular Bayesian inference.

Adam Scibior, Ohad Kammar, Zoubin Ghahramani

Proc. ACM Program. Lang., 2018

Composing Modeling and Inference Operations with Probabilistic Program Combinators.

Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent

CoRR, 2018

2016

Fabular: regression formulas as probabilistic programming.

Johannes Borgström, Andrew D. Gordon, Long Ouyang, Claudio V. Russo, Adam Scibior, Marcin Szymczak

Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2016

Consistent Kernel Mean Estimation for Functions of Random Variables.

Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O. Tolstikhin, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Practical probabilistic programming with monads.

Adam Scibior, Zoubin Ghahramani, Andrew D. Gordon

Proceedings of the 8th ACM SIGPLAN Symposium on Haskell, 2015