Synthetic Medical Images from Dual Generative Adversarial Networks. - John T. Guibas; Tejpal S. Virdi; Peter S. Li (CoRR, 2017)

Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data. - Daniel Kang; John Guibas; Peter Bailis; Tatsunori Hashimoto; Matei Zaharia (CoRR, 2020)

Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. - Daniel Kang; John Guibas; Peter Bailis; Tatsunori Hashimoto; Yi Sun 010; Matei Zaharia (CoRR, 2021)

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. - John Guibas; Morteza Mardani; Zongyi Li; Andrew Tao; Anima Anandkumar; Bryan Catanzaro (CoRR, 2021)

Accelerating Approximate Aggregation Queries with Expensive Predicates. - Daniel Kang; John Guibas; Peter Bailis; Tatsunori Hashimoto; Yi Sun 010; Matei Zaharia (Proc. VLDB Endow., 2021)

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. - John Guibas; Morteza Mardani; Zongyi Li; Andrew Tao; Anima Anandkumar; Bryan Catanzaro (ICLR, 2022)

TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. - Daniel Kang; John Guibas; Peter D. Bailis; Tatsunori Hashimoto; Matei Zaharia (SIGMOD Conference, 2022)

vApps: Verifiable Applications at Internet Scale. - Isaac Zhang; Kshitij Kulkarni; Tan Li; Daniel Wong; Thomas Kim; John Guibas; Uma Roy; Bryan Pellegrino; Ryan Zarick (CoRR, 2025)