Antonio A. Ginart
Antonio A. Ginart
PhD Candidate, Stanford University
Verifierad e-postadress på - Startsida
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Citeras av
Understanding GANs in the LQG Setting: Formulation, Generalization and Stability
S Feizi, F Farnia, T Ginart, D Tse
IEEE Journal on Selected Areas in Information Theory, 2020
Making ai forget you: Data deletion in machine learning
A Ginart, MY Guan, G Valiant, J Zou
arXiv preprint arXiv:1907.05012, 2019
Mixed dimension embeddings with application to memory-efficient recommendation systems
A Ginart, M Naumov, D Mudigere, J Yang, J Zou
arXiv preprint arXiv:1909.11810, 2019
Optimal compressed representation of high throughput sequence data via light assembly
AA Ginart, J Hui, K Zhu, I Numanagić, TA Courtade, SC Sahinalp, ...
Nature communications 9 (1), 1-9, 2018
Drugs or dancing? using real-time machine learning to classify streamed “dabbing” homograph tweets
AA Ginart, S Das, JK Harris, R Wong, H Yan, M Krauss, ...
2016 IEEE International Conference on Healthcare Informatics (ICHI), 10-13, 2016
MLDemon: Deployment Monitoring for Machine Learning Systems
A Ginart, M Zhang, J Zou
arXiv preprint arXiv:2104.13621, 2021
Competing AI: How competition feedback affects machine learning
A Ginart, E Zhang, Y Kwon, J Zou
arXiv preprint arXiv:2009.06797, 2020
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Artiklar 1–7