Guohao Shen

Orcid: 0000-0002-5277-0176

According to our database1, Guohao Shen authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2024
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks.
J. Mach. Learn. Res., 2024

Exploring the Complexity of Deep Neural Networks through Functional Equivalence.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Nonparametric inference on smoothed quantile regression process.
Comput. Stat. Data Anal., 2023

Conditional Stochastic Interpolation for Generative Learning.
CoRR, 2023

Wasserstein Generative Regression.
CoRR, 2023

Complexity of Feed-Forward Neural Networks from the Perspective of Functional Equivalence.
CoRR, 2023

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression.
CoRR, 2023

A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction.
CoRR, 2022

Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks.
CoRR, 2022

Approximation with CNNs in Sobolev Space: with Applications to Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks.
CoRR, 2021


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