John Guibas

According to our database, John Guibas authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data.

Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators.

John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Accelerating Approximate Aggregation Queries with Expensive Predicates.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

Proc. VLDB Endow., 2021

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

CoRR, 2021

Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

CoRR, 2021

2020

Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia

CoRR, 2020

2017

Synthetic Medical Images from Dual Generative Adversarial Networks.

John T. Guibas, Tejpal S. Virdi, Peter S. Li

CoRR, 2017