On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 3364 | 2021 |
Explaining landscape connectivity of low-cost solutions for multilayer nets R Kuditipudi, X Wang, H Lee, Y Zhang, Z Li, W Hu, R Ge, S Arora Advances in neural information processing systems 32, 2019 | 87 | 2019 |
Learning two-layer neural networks with symmetric inputs R Ge, R Kuditipudi, Z Li, X Wang arXiv preprint arXiv:1810.06793, 2018 | 64 | 2018 |
Robust distortion-free watermarks for language models R Kuditipudi, J Thickstun, T Hashimoto, P Liang arXiv preprint arXiv:2307.15593, 2023 | 61 | 2023 |
Minimizing the number of detrimental objects in multi-dimensional graph-based codes A Hareedy, R Kuditipudi, R Calderbank IEEE Transactions on Communications 68 (9), 5299-5312, 2020 | 22 | 2020 |
A pretty fast algorithm for adaptive private mean estimation R Kuditipudi, J Duchi, S Haque The Thirty Sixth Annual Conference on Learning Theory, 2511-2551, 2023 | 20* | 2023 |
Memorize to generalize: on the necessity of interpolation in high dimensional linear regression C Cheng, J Duchi, R Kuditipudi Conference on Learning Theory, 5528-5560, 2022 | 10* | 2022 |
Resampling methods for private statistical inference K Chadha, J Duchi, R Kuditipudi arXiv preprint arXiv:2402.07131, 2024 | 2* | 2024 |
Increasing the lifetime of flash memories using multi-dimensional graph-based codes A Hareedy, R Kuditipudi, R Calderbank 2019 IEEE Information Theory Workshop (ITW), 1-5, 2019 | 1 | 2019 |
Two fundamental limits for uncertainty quantification in predictive inference F Areces, C Cheng, J Duchi, K Rohith The Thirty Seventh Annual Conference on Learning Theory, 186-218, 2024 | | 2024 |