Adam Scibior - RankMe

39 papers A* 5A 4C 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
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
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
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`	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	A	`conf`	Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS 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
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	J	`jnl`	NeurIPS 2022 Competition: Driving SMARTS. CoRR 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
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
2022	J	`jnl`	TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference. Trans. Mach. Learn. Res. Vasileios Lioutas, Adam Scibior, Frank Wood
2022	A	`conf`	Vehicle Type Specific Waypoint Generation. IROS Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
2022	J	`jnl`	Vehicle Type Specific Waypoint Generation. CoRR Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
2021	J	`jnl`	Differentiable Particle Filtering without Modifying the Forward Pass. CoRR Adam Scibior, Vaden Masrani, Frank Wood
2021	—	`conf`	Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2021	J	`jnl`	Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2021	J	`jnl`	Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri
2021	A*	`conf`	Robust Asymmetric Learning in POMDPs. ICML Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
2020	J	`jnl`	Planning as Inference in Epidemiological Models. CoRR Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri
2020	J	`jnl`	Robust Asymmetric Learning in POMDPs. CoRR Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
2020	A	`conf`	Semi-supervised Sequential Generative Models. UAI Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
2020	J	`jnl`	Semi-supervised Sequential Generative Models. CoRR Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
2019	J	`jnl`	Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
2019	J	`jnl`	Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. CoRR Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2018	J	`jnl`	Composing Modeling and Inference Operations with Probabilistic Program Combinators. CoRR Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent
2018	J	`jnl`	Denotational validation of higher-order Bayesian inference. Proc. ACM Program. Lang. Adam Scibior, Ohad Kammar, Matthijs Vákár, Sam Staton, Hongseok Yang, Yufei Cai, Klaus Ostermann, Sean K. Moss, Chris Heunen, Zoubin Ghahramani
2018	J	`jnl`	Functional programming for modular Bayesian inference. Proc. ACM Program. Lang. Adam Scibior, Ohad Kammar, Zoubin Ghahramani
2017	J	`jnl`	Denotational validation of higher-order Bayesian inference. CoRR Adam Scibior, Ohad Kammar, Matthijs Vákár, Sam Staton, Hongseok Yang, Yufei Cai, Klaus Ostermann, Sean K. Moss, Chris Heunen, Zoubin Ghahramani
2016	—	`conf`	Consistent Kernel Mean Estimation for Functions of Random Variables. NIPS Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O. Tolstikhin, Bernhard Schölkopf
2016	A*	`conf`	Fabular: regression formulas as probabilistic programming. POPL Johannes Borgström, Andrew D. Gordon, Long Ouyang, Claudio V. Russo, Adam Scibior, Marcin Szymczak
2015	C	`conf`	Practical probabilistic programming with monads. Haskell Adam Scibior, Zoubin Ghahramani, Andrew D. Gordon