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Adam Scibior
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- unicode name: Adam Ścibior
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2020 – today
- 2024
- [c13]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. ICML 2024 - [i19]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 abs/2402.08018 (2024) - [i18]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 abs/2405.00251 (2024) - [i17]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 abs/2405.04491 (2024) - 2023
- [j5]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) - [c12]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 - [c11]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: 3261-3267 - [c10]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 - [i16]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 abs/2305.11856 (2023) - [i15]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 abs/2305.14621 (2023) - [i14]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 abs/2309.12508 (2023) - 2022
- [j4]Vasileios Lioutas, Adam Scibior, Frank Wood:
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference. Trans. Mach. Learn. Res. 2022 (2022) - [c9]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: 8392-8412 - [c8]Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood:
Vehicle Type Specific Waypoint Generation. IROS 2022: 12225-12230 - [c7]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: 1423-1433 - [i13]Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior:
Critic Sequential Monte Carlo. CoRR abs/2205.15460 (2022) - [i12]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 abs/2206.09021 (2022) - [i11]Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood:
Vehicle Type Specific Waypoint Generation. CoRR abs/2208.04987 (2022) - [i10]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 abs/2211.07545 (2022) - 2021
- [j3]Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov
Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. 4 (2021) - [c6]Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood:
Robust Asymmetric Learning in POMDPs. ICML 2021: 11013-11023 - [c5]Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood:
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC 2021: 720-725 - [i9]Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood:
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR abs/2104.11212 (2021) - [i8]Adam Scibior, Vaden Masrani, Frank Wood:
Differentiable Particle Filtering without Modifying the Forward Pass. CoRR abs/2106.10314 (2021) - 2020
- [c4]Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood:
Semi-supervised Sequential Generative Models. UAI 2020: 649-658 - [i7]Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov
Planning as Inference in Epidemiological Models. CoRR abs/2003.13221 (2020) - [i6]Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood:
Semi-supervised Sequential Generative Models. CoRR abs/2007.00155 (2020) - [i5]Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood:
Robust Asymmetric Learning in POMDPs. CoRR abs/2012.15566 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1910.09056 (2019) - [i3]Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood:
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. CoRR abs/1910.11950 (2019) - 2018
- [j2]Adam Scibior, Ohad Kammar, Zoubin Ghahramani:
Functional programming for modular Bayesian inference. Proc. ACM Program. Lang. 2(ICFP): 83:1-83:29 (2018) - [j1]Adam Scibior, Ohad Kammar, Matthijs Vákár
Denotational validation of higher-order Bayesian inference. Proc. ACM Program. Lang. 2(POPL): 60:1-60:29 (2018) - [i2]Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent:
Composing Modeling and Inference Operations with Probabilistic Program Combinators. CoRR abs/1811.05965 (2018) - 2017
- [i1]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 abs/1711.03219 (2017) - 2016
- [c3]Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O. Tolstikhin, Bernhard Schölkopf:
Consistent Kernel Mean Estimation for Functions of Random Variables. NIPS 2016: 1732-1740 - [c2]Johannes Borgström, Andrew D. Gordon, Long Ouyang, Claudio V. Russo, Adam Scibior, Marcin Szymczak:
Fabular: regression formulas as probabilistic programming. POPL 2016: 271-283 - 2015
- [c1]Adam Scibior, Zoubin Ghahramani, Andrew D. Gordon:
Practical probabilistic programming with monads. Haskell 2015: 165-176
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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