John Guibas

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Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Matei ZahariaUC Berkeley and DatabricksVerified email at berkeley.edu
Tatsunori HashimotoAssistant Professor, StanfordVerified email at stanford.edu
Peter BailisSisu DataVerified email at sisudata.com
Daniel KangStanford UniversityVerified email at stanford.edu
Morteza MardaniStanford University, NVIDIAVerified email at stanford.edu
Yi SunAssistant Professor, UChicago StatisticsVerified email at statistics.uchicago.edu

John Guibas

Verified email at stanford.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Synthetic Medical Images from Dual Generative Adversarial Networks J Guibas, T Virdi, P Li arXiv preprint arXiv:1709.01872, 2017	186	2017
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, 2021, 2021	107*	2021
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	22*	2022
Accelerating Approximate Aggregation Queries with Expensive Predicates D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia arXiv preprint arXiv:2108.06313, 2021	9	2021
Data Management for ML-based Analytics and Beyond D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia		2023
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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