| Asymptotic Theory of -Regularized PDE Identification from a Single Noisy Trajectory Y He, N Suh, X Huo, SH Kang, Y Mei SIAM/ASA Journal on Uncertainty Quantification 10 (3), 1012-1036, 2022 | 10 | 2022 |
| Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks N Suh, TY Zhou, X Huo The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |
| A non-parametric regression viewpoint: Generalization of overparametrized deep ReLU network under noisy observations N Suh, H Ko, X Huo International Conference on Learning Representations, 2021 | 5 | 2021 |
| Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data Y Xing, X Lin, N Suh, Q Song, G Cheng arXiv preprint arXiv:2402.00743, 2024 | 3 | 2024 |
| A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models N Suh, G Cheng arXiv preprint arXiv:2401.07187, 2024 | 3 | 2024 |
| AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing N Suh, X Lin, DY Hsieh, M Honarkhah, G Cheng arXiv preprint arXiv:2310.15479, 2023 | 3 | 2023 |
| On excess risk convergence rates of neural network classifiers H Ko, N Suh, X Huo arXiv preprint arXiv:2309.15075, 2023 | 2 | 2023 |
| Review on Parameter Estimation in HMRF N Suh arXiv preprint arXiv:1711.07561, 2017 | 1 | 2017 |
| Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data L Tao, S Xu, CH Wang, N Suh, G Cheng arXiv preprint arXiv:2405.15337, 2024 | | 2024 |
| Approximation of RKHS Functionals by Neural Networks TY Zhou, N Suh, G Cheng, X Huo arXiv preprint arXiv:2403.12187, 2024 | | 2024 |
| High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization N Suh, LH Lin, X Huo Journal of Computational and Graphical Statistics, 1-21, 2024 | | 2024 |
| Statistical viewpoints on network model, PDE Identification, low-rank matrix estimation and deep learning N Suh Georgia Institute of Technology, 2022 | | 2022 |
| A network model that combines latent factors and sparse graphs N Suh, X Huo, E Heim, L Seversky Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (2 …, 2021 | | 2021 |
| Adaptive Online Monitoring of the Ising model. N Suh, R Zhang, Y Mei Allerton, 426-431, 2019 | | 2019 |
Xiaoming HuoProfessor, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
