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Journal Articles
- 2021
[j1]Daniel Kang
, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia:
Accelerating Approximate Aggregation Queries with Expensive Predicates. Proc. VLDB Endow. 14(11): 2341-2354 (2021)
Conference and Workshop Papers
- 2022
- [c2]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR 2022 - [c1]Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia:
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. SIGMOD Conference 2022: 1934-1947
Informal and Other Publications
- 2021
- [i5]Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia:
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR abs/2107.12525 (2021) - [i4]Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia:
Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR abs/2108.06313 (2021) - [i3]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR abs/2111.13587 (2021) - 2020
- [i2]Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia:
Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data. CoRR abs/2009.04540 (2020) - 2017
- [i1]John T. Guibas, Tejpal S. Virdi, Peter S. Li:
Synthetic Medical Images from Dual Generative Adversarial Networks. CoRR abs/1709.01872 (2017)
Coauthor Index
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