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ORCIDSaeid Naderiparizi
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Journal Articles
- 2021
[j1]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)
Conference and Workshop Papers
- 2024
- [c8]Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood:
Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance. ICML 2024 - [c7]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 - 2022
- [c6]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 - [c5]William Harvey, Saeid Naderiparizi, Frank Wood:
Conditional Image Generation by Conditioning Variational Auto-Encoders. ICLR 2022 - [c4]William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood:
Flexible Diffusion Modeling of Long Videos. NeurIPS 2022 - 2020
- [c3]Andrew Warrington, Frank Wood, Saeid Naderiparizi:
Coping With Simulators That Don't Always Return. AISTATS 2020: 1748-1758 - 2019
- [c2]Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood:
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. NeurIPS 2019: 5460-5473 - [c1]Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood:
Etalumis: bringing probabilistic programming to scientific simulators at scale. SC 2019: 29:1-29:24
Informal and Other Publications
- 2024
- [i12]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) - [i11]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) - [i10]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
- [i9]Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood:
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance. CoRR abs/2307.16463 (2023) - 2022
- [i8]William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood:
Flexible Diffusion Modeling of Long Videos. CoRR abs/2205.11495 (2022) - [i7]Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari:
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR abs/2212.10553 (2022) - 2021
- [i6]William Harvey, Saeid Naderiparizi, Frank Wood:
Image Completion via Inference in Deep Generative Models. CoRR abs/2102.12037 (2021) - 2020
- [i5]Andrew Warrington, Saeid Naderiparizi, Frank Wood:
Coping With Simulators That Don't Always Return. CoRR abs/2003.12908 (2020) - [i4]Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri:
Planning as Inference in Epidemiological Models. CoRR abs/2003.13221 (2020) - [i3]Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood:
Uncertainty in Neural Processes. CoRR abs/2010.03753 (2020) - 2019
- [i2]Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood:
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. CoRR abs/1907.03382 (2019) - [i1]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)
Coauthor Index
aka: Frank Wood
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