Practical probabilistic programming with monads. - Adam Scibior; Zoubin Ghahramani; Andrew D. Gordon 001 (Haskell, 2015)

Consistent Kernel Mean Estimation for Functions of Random Variables. - Carl-Johann Simon-Gabriel; Adam Scibior; Ilya O. Tolstikhin; Bernhard Schölkopf (NIPS, 2016)

Fabular: regression formulas as probabilistic programming. - Johannes Borgström; Andrew D. Gordon 001; Long Ouyang; Claudio V. Russo; Adam Scibior; Marcin Szymczak 002 (POPL, 2016)

Composing Modeling and Inference Operations with Probabilistic Program Combinators. - Eli Sennesh; Adam Scibior; Hao Wu 020; Jan-Willem van de Meent (CoRR, 2018)

Functional programming for modular Bayesian inference. - Adam Scibior; Ohad Kammar; Zoubin Ghahramani (Proc. ACM Program. Lang., 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)

Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. - Andreas Munk 001; Adam Scibior; Atilim Günes Baydin; Andrew Stewart; Goran Fernlund; Anoush Poursartip; Frank Wood (CoRR, 2019)

Semi-supervised Sequential Generative Models. - Michael Teng; Tuan Anh Le 001; Adam Scibior; Frank Wood (UAI, 2020)

Planning as Inference in Epidemiological Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; Seyed Ali Nasseri (CoRR, 2020)

Robust Asymmetric Learning in POMDPs. - Andrew Warrington; Jonathan Wilder Lavington; Adam Scibior; Mark Schmidt 001; Frank Wood (ICML, 2021)

Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. - Adam Scibior; Vasileios Lioutas; Daniele Reda; Peyman Bateni; Frank Wood (ITSC, 2021)

Differentiable Particle Filtering without Modifying the Forward Pass. - Adam Scibior; Vaden Masrani; Frank Wood (CoRR, 2021)

Planning as Inference in Epidemiological Dynamics Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; John Grefenstette; Duncan Campbell; Seyed Ali Nasseri (Frontiers Artif. Intell., 2021)

Amortized Rejection Sampling in Universal Probabilistic Programming. - Saeid Naderiparizi; Adam Scibior; Andreas Munk 001; 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 (AISTATS, 2022)

Vehicle Type Specific Waypoint Generation. - Yunpeng Liu 007; Jonathan Wilder Lavington; Adam Scibior; Frank Wood (IROS, 2022)

Probabilistic surrogate networks for simulators with unbounded randomness. - Andreas Munk 001; Berend Zwartsenberg; Adam Scibior; Atilim Günes Baydin; Andrew Stewart; Goran Fernlund; Anoush Poursartip; Frank Wood (UAI, 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; et al. (CoRR, 2022)

TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference. - Vasileios Lioutas; Adam Scibior; Frank Wood (Trans. Mach. Learn. Res., 2022)

Critic Sequential Monte Carlo. - Vasileios Lioutas; Jonathan Wilder Lavington; Justice Sefas; Matthew Niedoba; Yunpeng Liu 007; Berend Zwartsenberg; Setareh Dabiri; Frank Wood; Adam Scibior (ICLR, 2023)

Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images. - Yunpeng Liu 007; Vasileios Lioutas; Jonathan Wilder Lavington; Matthew Niedoba; Justice Sefas; Setareh Dabiri; Dylan Green; Xiaoxuan Liang 001; Berend Zwartsenberg; Adam Scibior; Frank Wood (ITSC, 2023)

A Diffusion-Model of Joint Interactive Navigation. - Matthew Niedoba; Jonathan Wilder Lavington; Yunpeng Liu 007; Vasileios Lioutas; Justice Sefas; Xiaoxuan Liang 001; Dylan Green; Setareh Dabiri; Berend Zwartsenberg; Adam Scibior; Frank Wood (NeurIPS, 2023)

Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images. - Yunpeng Liu 007; Vasileios Lioutas; Jonathan Wilder Lavington; Matthew Niedoba; Justice Sefas; Setareh Dabiri; Dylan Green; Xiaoxuan Liang 001; Berend Zwartsenberg; Adam Scibior; Frank Wood (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 007; Matthew Niedoba; Xiaoxuan Liang 001; Dylan Green; Justice Sefas; Jonathan Wilder Lavington; Frank Wood; Adam Scibior (CoRR, 2023)

Conditional Permutation Invariant Flows. - Berend Zwartsenberg; Adam Scibior; Matthew Niedoba; Vasileios Lioutas; Justice Sefas; Yunpeng Liu 007; Setareh Dabiri; Jonathan Wilder Lavington; Trevor Campbell; Frank Wood (Trans. Mach. Learn. Res., 2023)

Nearest Neighbour Score Estimators for Diffusion Generative Models. - Matthew Niedoba; Dylan Green; Saeid Naderiparizi; Vasileios Lioutas; Jonathan Wilder Lavington; Xiaoxuan Liang 001; Yunpeng Liu 007; Ke Zhang; Setareh Dabiri; Adam Scibior; Berend Zwartsenberg; Frank Wood (ICML, 2024)

Semantically Consistent Video Inpainting with Conditional Diffusion Models. - Dylan Green; William Harvey 002; Saeid Naderiparizi; Matthew Niedoba; Yunpeng Liu 007; Xiaoxuan Liang 001; Jonathan Wilder Lavington; Ke Zhang; Vasileios Lioutas; Setareh Dabiri; Adam Scibior; Berend Zwartsenberg; et al. (CoRR, 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 007; Dylan Green; Saeid Naderiparizi; Xiaoxuan Liang 001; Setareh Dabiri; Adam Scibior; Berend Zwartsenberg; Frank Wood (CoRR, 2024)

Control-ITRA: Controlling the Behavior of a Driving Model. - Vasileios Lioutas; Adam Scibior; Matthew Niedoba; Berend Zwartsenberg; Frank Wood (CoRR, 2025)

Rolling Ahead Diffusion for Traffic Scene Simulation. - Yunpeng (Larry) Liu; Matthew Niedoba; William Harvey 002; Adam Scibior; Berend Zwartsenberg; Frank Wood (CoRR, 2025)