Naderiparizi, Saeid

8 publications

AAAI 2025 Constrained Generative Modeling with Manually Bridged Diffusion Models Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood

ICML 2024 Don’t Be so Negative! Score-Based Generative Modeling with Oracle-Assisted Guidance Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood

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

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

ICLR 2022 Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey, Saeid Naderiparizi, Frank Wood

NeurIPS 2022 Flexible Diffusion Modeling of Long Videos William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood

AISTATS 2020 Coping with Simulators That Don’t Always Return Andrew Warrington, Saeid Naderiparizi, Frank Wood

NeurIPS 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 Torr, Victor Lee, Kyle Cranmer, Mr. Prabhat, Frank Wood