Saeid Naderiparizi

25 papers A* 6A 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improved Constrained Generation by Bridging Pretrained Generative Models. CoRR Xiaoxuan Liang, Saeid Naderiparizi, Yunpeng Liu, Berend Zwartsenberg, Frank Wood
2025	A*	`conf`	Constrained Generative Modeling with Manually Bridged Diffusion Models. AAAI Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Constrained Generative Modeling with Manually Bridged Diffusion Models. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2024	A*	`conf`	Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance. ICML Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood
2024	A*	`conf`	Nearest Neighbour Score Estimators for Diffusion Generative Models. ICML 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
2024	J	`jnl`	Nearest Neighbour Score Estimators for Diffusion Generative Models. CoRR 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
2024	—	`conf`	On Neural Process Pooling Operator Choice and Posterior Calibration. Canadian AI Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood
2024	J	`jnl`	Semantically Consistent Video Inpainting with Conditional Diffusion Models. CoRR 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
2024	J	`jnl`	TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters. CoRR 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
2023	J	`jnl`	Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2022	A	`conf`	Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS 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
2022	A*	`conf`	Conditional Image Generation by Conditioning Variational Auto-Encoders. ICLR William Harvey, Saeid Naderiparizi, Frank Wood
2022	A*	`conf`	Flexible Diffusion Modeling of Long Videos. NeurIPS William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
2022	J	`jnl`	Flexible Diffusion Modeling of Long Videos. CoRR William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
2022	J	`jnl`	RangeAugment: Efficient Online Augmentation with Range Learning. CoRR Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari
2021	J	`jnl`	Image Completion via Inference in Deep Generative Models. CoRR William Harvey, Saeid Naderiparizi, Frank Wood
2021	J	`jnl`	Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri
2020	A	`conf`	Coping With Simulators That Don't Always Return. AISTATS Andrew Warrington, Frank Wood, Saeid Naderiparizi
2020	J	`jnl`	Coping With Simulators That Don't Always Return. CoRR Andrew Warrington, Saeid Naderiparizi, Frank Wood
2020	J	`jnl`	Planning as Inference in Epidemiological Models. CoRR Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri
2020	J	`jnl`	Uncertainty in Neural Processes. CoRR Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood
2019	J	`jnl`	Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR 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
2019	A*	`conf`	Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. NeurIPS 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
2019	J	`jnl`	Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. CoRR 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
2019	A	`conf`	Etalumis: bringing probabilistic programming to scientific simulators at scale. SC 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