Adam Scibior

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Sequential Monte Carlo

Particle Filter

Diffusion Models

Top Venues

Proc. ACM Program. Lang.

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)
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)
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)
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)
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)
Vasileios Lioutas, Adam Scibior, Frank Wood
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference. Trans. Mach. Learn. Res. 2022 (2022)
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)
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
NeurIPS 2022 Competition: Driving SMARTS. CoRR (2022)
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
Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS (2022)
Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
Probabilistic surrogate networks for simulators with unbounded randomness. UAI (2022)
Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
Vehicle Type Specific Waypoint Generation. IROS (2022)
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR (2021)
Adam Scibior, Vaden Masrani, Frank Wood
Differentiable Particle Filtering without Modifying the Forward Pass. CoRR (2021)
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC (2021)
Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
Robust Asymmetric Learning in POMDPs. ICML (2021)
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri
Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. 4 (2021)
Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
Semi-supervised Sequential Generative Models. UAI (2020)
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Ali Nasseri
Planning as Inference in Epidemiological Models. CoRR (2020)
Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
Robust Asymmetric Learning in POMDPs. CoRR (2020)
Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
Semi-supervised Sequential Generative Models. CoRR (2020)
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
Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR (2019)
Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. CoRR (2019)
Adam Scibior, Ohad Kammar, Zoubin Ghahramani
Functional programming for modular Bayesian inference. Proc. ACM Program. Lang. 2 (ICFP) (2018)
Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent
Composing Modeling and Inference Operations with Probabilistic Program Combinators. CoRR (2018)
Adam Scibior, Ohad Kammar, Matthijs Vákár, Sam Staton, Hongseok Yang, Yufei Cai, Klaus Ostermann, Sean K. Moss, Chris Heunen, Zoubin Ghahramani
Denotational validation of higher-order Bayesian inference. Proc. ACM Program. Lang. 2 (POPL) (2018)
Adam Scibior, Ohad Kammar, Matthijs Vákár, Sam Staton, Hongseok Yang, Yufei Cai, Klaus Ostermann, Sean K. Moss, Chris Heunen, Zoubin Ghahramani
Denotational validation of higher-order Bayesian inference. CoRR (2017)
Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O. Tolstikhin, Bernhard Schölkopf
Consistent Kernel Mean Estimation for Functions of Random Variables. NIPS (2016)
Johannes Borgström, Andrew D. Gordon, Long Ouyang, Claudio V. Russo, Adam Scibior, Marcin Szymczak
Fabular: regression formulas as probabilistic programming. POPL (2016)
Adam Scibior, Zoubin Ghahramani, Andrew D. Gordon
Practical probabilistic programming with monads. Haskell (2015)