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John Guibas
John Guibas
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
J Guibas, M Mardani, Z Li, A Tao, A Anandkumar, B Catanzaro
International Conference on Learning Representations (ICLR), 2021, 2021
230*2021
Synthetic Medical Images from Dual Generative Adversarial Networks
J Guibas, T Virdi, P Li
Conference on Neural Information Processing Systems (NIPS), ML4H Workshop, 2017, 2017
2222017
TASTI: Semantic indexes for machine learning-based queries over unstructured data
D Kang, J Guibas, PD Bailis, T Hashimoto, M Zaharia
Proceedings of the 2022 International Conference on Management of Data, 1934 …, 2022
40*2022
Accelerating Approximate Aggregation Queries with Expensive Predicates
D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia
International Conference on Very Large Data Bases (VLDB), 2021, 2021
242021
Data Management for ML-based Analytics and Beyond
D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia
12023
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia
arXiv preprint arXiv:2107.12525, 2021
2021
Adaptive Prediction Sets with Class Conditional Coverage
A Derhacobian, J Guibas, L Li, B Namboothiry
2021
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Articles 1–7