Saeid Naderiparizi

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Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
William HarveyApplied Research Scientist, NetflixVerified email at netflix.com
Vaden MasraniHuawei Technologies CanadaVerified email at cs.ubc.ca
Christian WeilbachPhD Candidate, University of British ColumbiaVerified email at cs.ubc.ca
Andreas MunkPhD in Computer Science, University of British ColumbiaVerified email at ammunk.com
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
Andrew WarringtonPostdoc, Stanford UniversityVerified email at stanford.edu
Adam ŚcibiorUniversity of British ColumbiaVerified email at cs.ubc.ca
Sachin MehtaAI/ML Applied Research Scientist at Apple Inc.Verified email at apple.com
Mehrdad GhadiriMITVerified email at mit.edu
Benjamin Bloem-ReddyUniversity of British ColumbiaVerified email at stat.ubc.ca
Kenny ChiuUniversity of British ColumbiaVerified email at stat.ubc.ca

Saeid Naderiparizi

PhD student, University of British Columbia

Verified email at cs.ubc.ca - Homepage

Machine Learning Generative Models Bayesian Inference Probabilistic Programming


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Flexible diffusion modeling of long videos W Harvey, S Naderiparizi, V Masrani, C Weilbach, F Wood Thirty-sixth Conference on Neural Information Processing Systems, 2022	271	2022
Etalumis: Bringing probabilistic programming to scientific simulators at scale AG Baydin, L Shao, W Bhimji, L Heinrich, L Meadows, J Liu, A Munk, ... Proceedings of the international conference for high performance computing …, 2019	69	2019
Efficient probabilistic inference in the quest for physics beyond the standard model AG Baydin, L Shao, W Bhimji, L Heinrich, S Naderiparizi, A Munk, J Liu, ... Advances in neural information processing systems, 5459-5472, 2019	51	2019
Conditional Image Generation by Conditioning Variational Auto-Encoders W Harvey, S Naderiparizi, F Wood International Conference on Learning Representations, 2021	26	2021
Planning as Inference in Epidemiological Dynamics Models F Wood, A Warrington, S Naderiparizi, C Weilbach, V Masrani, W Harvey, ... Frontiers in Artificial Intelligence 4, 2021	18	2021
RangeAugment: Efficient Online Augmentation with Range Learning S Mehta, S Naderiparizi, F Faghri, M Horton, L Chen, A Farhadi, O Tuzel, ... arXiv preprint arXiv:2212.10553, 2022	8	2022
Amortized rejection sampling in universal probabilistic programming S Naderiparizi, A Scibior, A Munk, M Ghadiri, AG Baydin, ... International Conference on Artificial Intelligence and Statistics, 8392-8412, 2022	6	2022
Coping With Simulators That Don’t Always Return A Warrington, S Naderiparizi, F Wood International Conference on Artificial Intelligence and Statistics, 1748-1758, 2020	6	2020
Uncertainty in Neural Processes S Naderiparizi, K Chiu, B Bloem-Reddy, F Wood arXiv preprint arXiv:2010.03753, 2020	4	2020
METHOD AND SYSTEM FOR GENERATING ONE OR MORE CONDITIONALLY DEPENDENT DATA ENTRIES W Harvey, S Naderiparizi, V Masrani, CD Weilbach, F Wood US Patent App. 18/199,865, 2024		2024
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance S Naderiparizi, X Liang, S Cohan, B Zwartsenberg, F Wood International Conference on Machine Learning, 37164-37187, 2024		2024

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