Hamed Shirzad
Hamed Shirzad
Ph.D. Student, Computer Science Department, UBC
Verified email at - Homepage
Cited by
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Exphormer: Sparse transformers for graphs
H Shirzad, A Velingker, B Venkatachalam, DJ Sutherland, AK Sinop
International Conference on Machine Learning, 31613-31632, 2023
Evaluating graph generative models with contrastively learned features
H Shirzad, K Hassani, DJ Sutherland
Advances in Neural Information Processing Systems 35, 7783-7795, 2022
TD-GEN: graph generation using tree decomposition
H Shirzad, H Hajimirsadeghi, AH Abdi, G Mori
International Conference on Artificial Intelligence and Statistics, 5518-5537, 2022
Conditional diffusion models as self-supervised learning backbone for irregular time series
H Shirzad, R Deng, H Zhao, F Tung, AI Borealis
ICLR 2024 Workshop on Learning from Time Series For Health, 2024
Scaling Graphically Structured Diffusion Models
CD Weilbach, W Harvey, H Shirzad, F Wood
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
Graph generation using tree decomposition
H Shirzad
Simon Fraser University, 2021
Low-Width Approximations and Sparsification for Scaling Graph Transformers
H Shirzad, B Venkatachalam, A Velingker, D Sutherland, D Woodruff
NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 0
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