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2020 – today
- 2024
[j2]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. 25: 88:1-88:75 (2024)- [c3]Guohao Shen:
Exploring the Complexity of Deep Neural Networks through Functional Equivalence. ICML 2024 - 2023
- [j1]Meiling Hao
, Yuanyuan Lin, Guohao Shen, Wen Su:
Nonparametric inference on smoothed quantile regression process. Comput. Stat. Data Anal. 179: 107645 (2023) - [c2]Lebin Liang, Haotian Rao, Guohao Shen, Can Wang, Xinyu Wu:
A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU. RCAR 2023: 280-285 - [i7]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR abs/2305.00608 (2023) - [i6]Guohao Shen:
Complexity of Feed-Forward Neural Networks from the Perspective of Functional Equivalence. CoRR abs/2305.11417 (2023) - [i5]Shanshan Song, Tong Wang, Guohao Shen, Yuanyuan Lin, Jian Huang:
Wasserstein Generative Regression. CoRR abs/2306.15163 (2023) - [i4]Ding Huang, Jian Huang, Ting Li, Guohao Shen:
Conditional Stochastic Interpolation for Generative Learning. CoRR abs/2312.05579 (2023) - 2022
- [c1]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS 2022 - [i3]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR abs/2207.10442 (2022) - [i2]Wenlu Tang, Guohao Shen, Yuanyuan Lin, Jian Huang:
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. CoRR abs/2210.10161 (2022) - 2021
- [i1]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR abs/2105.00292 (2021)
Coauthor Index
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