| Making ai forget you: Data deletion in machine learning A Ginart, M Guan, G Valiant, JY Zou Advances in neural information processing systems 32, 2019 | 495 | 2019 |
| 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 1 (1), 304-311, 2020 | 114* | 2020 |
| Mixed dimension embeddings with application to memory-efficient recommendation systems AA Ginart, M Naumov, D Mudigere, J Yang, J Zou 2021 IEEE International Symposium on Information Theory (ISIT), 2786-2791, 2021 | 112 | 2021 |
| Mldemon: Deployment monitoring for machine learning systems T Ginart, MJ Zhang, J Zou International conference on artificial intelligence and statistics, 3962-3997, 2022 | 28 | 2022 |
| Optimal compressed representation of high throughput sequence data via light assembly AA Ginart, J Hui, K Zhu, I Numanagić, TA Courtade, SC Sahinalp, DN Tse Nature communications 9 (1), 566, 2018 | 25 | 2018 |
| Submix: Practical private prediction for large-scale language models A Ginart, L van der Maaten, J Zou, C Guo arXiv preprint arXiv:2201.00971, 2022 | 23 | 2022 |
| Competing AI: How does competition feedback affect machine learning? T Ginart, E Zhang, Y Kwon, J Zou International Conference on Artificial Intelligence and Statistics, 1693-1701, 2021 | 21 | 2021 |
| 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 | 14 | 2016 |
| Competition over data: how does data purchase affect users? Y Kwon, A Ginart, J Zou arXiv preprint arXiv:2201.10774, 2022 | 8 | 2022 |
| Asynchronous Tool Usage for Real-Time Agents AA Ginart, N Kodali, J Lee, C Xiong, S Savarese, J Emmons arXiv preprint arXiv:2410.21620, 2024 | | 2024 |
| Theory and Algorithms for Efficient Deployment of Machine Learning Systems AA Ginart Stanford University, 2022 | | 2022 |