Scibior, Adam

10 publications

ICML 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

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

TMLR 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

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

AISTATS 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. Schroeder De Witt, Robert Zinkov, Philip Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

UAI 2022 Probabilistic Surrogate Networks for Simulators with Unbounded Randomness Andreas Munk, Berend Zwartsenberg, Adam Ścibior, Atılım Güneş G. Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood

TMLR 2022 TITRATED: Learned Human Driving Behavior Without Infractions via Amortized Inference Vasileios Lioutas, Adam Scibior, Frank Wood

ICML 2021 Robust Asymmetric Learning in POMDPs Andrew Warrington, Jonathan W Lavington, Adam Scibior, Mark Schmidt, Frank Wood

UAI 2020 Semi-Supervised Sequential Generative Models Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood

NeurIPS 2016 Consistent Kernel Mean Estimation for Functions of Random Variables Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O Tolstikhin, Bernhard Schölkopf