I'm a junior at Stanford studying computer science and statistics. I do research on database systems and machine learning at the Stanford DAWN Lab working with Matei Zaharia and Tatsu Hashimoto. I'm currently deep into crypto and interested in topics such as zero-knowledge systems, decentralized finance, and blockchain infrastructure.
Data Management for ML-based Analytics and Beyond
D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia
(In Submission)
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 (ICLR), 2022
Task-agnostic Indexes for Deep Learning-based Queries over Unstructured
Data
D Kang, J Guibas, P Bailis, T Hashimoto, M Zaharia
International Conference on Management of Data (SIGMOD), 2022
Accelerating Approximate Aggregation Queries with Expensive
Predicates
D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia
International Conference on Very Large Data Bases (VLDB), 2021
Synthetic Medical Images from Dual Generative Adversarial
Networks
J Guibas, T Virdi, P Li
Conference on Neural Information Processing Systems (NIPS ML4H), 2017
© John Guibas | Design Inspired By: Gauttam Mittal