John Guibas

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 7

Top Topics

Aggregation Queries

Semistructured Data

Materialized Views

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

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)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR (2022)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Accelerating Approximate Aggregation Queries with Expensive Predicates. Proc. VLDB Endow. 14 (11) (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia
Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data. CoRR (2020)