Scholar
Saeid Naderiparizi
Google Scholar ID: Ubt0dYYAAAAJ
PhD student, University of British Columbia
Citations & Impact
Citations
558
H-index
7
i10-index
6
Publications
13
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Constrained Generative Modeling with Manually Bridged Diffusion Models published in AAAI 2025 (Oral Presentation)
- Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance published in ICML 2024
- RangeAugment: Efficient Online Augmentation with Range Learning published as arXiv preprint 2022
- Flexible Diffusion Modeling of Long Videos published in NeurIPS 2022
- Amortized Rejection Sampling in Universal Probabilistic Programming published in AISTATS 2022 (Oral Presentation) [Top-9%]
- Conditional Image Generation by Conditioning Variational Auto-Encoders published in ICLR 2022
- Uncertainty in Neural Processes published as arXiv preprint 2020
- Planning as Inference in Epidemiological Dynamics Models published in Frontiers in Artificial Intelligence 2022
- Coping With Simulators That Don't Always Return published in AISTATS 2020
Research Experience
- Worked on the RangeAugment project during a summer internship at Apple.
Education
- Ph.D. student in Computer Science at the University of British Columbia, supervised by Frank Wood.
Background
- Research interests include generative models, diffusion models, constrained generation, and Bayesian inference.
Miscellany
- Personal website provides links to email, Google Scholar, GitHub, and LinkedIn.
