Saeid Naderiparizi

According to our database, Saeid Naderiparizi authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance.

Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood

CoRR, 2023

2022

RangeAugment: Efficient Online Augmentation with Range Learning.

Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari

CoRR, 2022

Flexible Diffusion Modeling of Long Videos.

William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conditional Image Generation by Conditioning Variational Auto-Encoders.

William Harvey, Saeid Naderiparizi, Frank Wood

Proceedings of the Tenth International Conference on Learning Representations, 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. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Planning as Inference in Epidemiological Dynamics Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri

Frontiers Artif. Intell., 2021

Image Completion via Inference in Deep Generative Models.

William Harvey, Saeid Naderiparizi, Frank Wood

CoRR, 2021

2020

Uncertainty in Neural Processes.

Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood

CoRR, 2020

Planning as Inference in Epidemiological Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri

CoRR, 2020

Coping With Simulators That Don't Always Return.

Andrew Warrington, Frank Wood, Saeid Naderiparizi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Etalumis: bringing probabilistic programming to scientific simulators at scale.

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

Proceedings of the International Conference for High Performance Computing, 2019

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019