| Product kernel interpolation for scalable Gaussian processes J Gardner, G Pleiss, R Wu, K Weinberger, A Wilson International Conference on Artificial Intelligence and Statistics, 1407-1416, 2018 | 83 | 2018 |
| Online adaptation to label distribution shift R Wu, C Guo, Y Su, KQ Weinberger Advances in Neural Information Processing Systems 34, 11340-11351, 2021 | 53 | 2021 |
| Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data C Miles, A Bohrdt, R Wu, C Chiu, M Xu, G Ji, M Greiner, KQ Weinberger, ... Nature Communications 12 (1), 3905, 2021 | 45 | 2021 |
| On Hiding Neural Networks Inside Neural Networks C Guo, R Wu, KQ Weinberger arXiv preprint arXiv:2002.10078, 2020 | 33* | 2020 |
| Making paper reviewing robust to bid manipulation attacks R Wu, C Guo, F Wu, R Kidambi, L Van Der Maaten, K Weinberger International Conference on Machine Learning, 11240-11250, 2021 | 27 | 2021 |
| Quadratic upper bound for recursive teaching dimension of finite VC classes L Hu, R Wu, T Li, L Wang Conference on Learning Theory, 1147-1156, 2017 | 24 | 2017 |
| Scalable lattice influence maximization W Chen, R Wu, Z Yu IEEE Transactions on Computational Social Systems 7 (4), 956-970, 2020 | 17 | 2020 |
| Does Label Differential Privacy Prevent Label Inference Attacks? R Wu, JP Zhou, KQ Weinberger, C Guo arXiv preprint arXiv:2202.12968, 2022 | 14 | 2022 |
| Dumbnet: A smart data center network fabric with dumb switches Y Li, D Wei, X Chen, Z Song, R Wu, Y Li, X Jin, W Xu Proceedings of the Thirteenth EuroSys Conference, 1-13, 2018 | 14 | 2018 |
| Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction J Chen, Y Wang, R Wu, M Campbell 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 11 | 2021 |
| Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning R Wu, X Chen, C Guo, KQ Weinberger Uncertainty in Artificial Intelligence, 2293-2303, 2023 | 10 | 2023 |
| Fixes that fail: Self-defeating improvements in machine-learning systems R Wu, C Guo, A Hannun, L van der Maaten Advances in Neural Information Processing Systems 34, 11745-11756, 2021 | 9 | 2021 |
| Differentially Private Multi-Party Data Release for Linear Regression R Wu, X Yang, Y Yao, J Sun, T Liu, KQ Weinberger, C Wang arXiv preprint arXiv:2206.07998, 2022 | 3 | 2022 |
| Large-Scale Public Data Improves Differentially Private Image Generation Quality R Wu, C Guo, K Chaudhuri arXiv preprint arXiv:2309.00008, 2023 | 1 | 2023 |
| Image steganography utilizing adversarial perturbations V Kishore, K Weinberger, C Xiangyu, LI Boyi, Y Wang, R Wu US Patent 12,033,233, 2024 | | 2024 |
| On Speeding Up Language Model Evaluation JP Zhou, CK Belardi, R Wu, T Zhang, CP Gomes, W Sun, KQ Weinberger arXiv preprint arXiv:2407.06172, 2024 | | 2024 |
| Large Scale Knowledge Washing Y Wang, R Wu, Z He, X Chen, J McAuley arXiv preprint arXiv:2405.16720, 2024 | | 2024 |
| Better Membership Inference Privacy Measurement through Discrepancy R Wu, P Huang, K Chaudhuri arXiv preprint arXiv:2405.15140, 2024 | | 2024 |
| Online Feature Updates Improve Online (Generalized) Label Shift Adaptation R Wu, S Datta, Y Su, D Baby, YX Wang, KQ Weinberger arXiv preprint arXiv:2402.03545, 2024 | | 2024 |
| Data processing for release while protecting individual privacy X Yang, Y Yao, T Liu, SUN Jiankai, C Wang, R Wu US Patent App. 17/535,398, 2023 | | 2023 |
Kilian WeinbergerCornell UniversityVerified email at cornell.edu
