Namjoon Suh

According to our database1, Namjoon Suh authored at least 12 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Approximation of RKHS Functionals by Neural Networks.
CoRR, 2024

Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data.
CoRR, 2024

A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models.
CoRR, 2024

2023
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing.
CoRR, 2023

On Excess Risk Convergence Rates of Neural Network Classifiers.
CoRR, 2023

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory.
SIAM/ASA J. Uncertain. Quantification, March, 2022

A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A network model that combines latent factors and sparse graphs.
Stat. Anal. Data Min., 2021

Asymptotic Theory of 𝓁<sub>1</sub>-Regularized PDE Identification from a Single Noisy Trajectory.
CoRR, 2021

2019
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model.
CoRR, 2019

Adaptive Online Monitoring of the Ising model.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019


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