Annan Yu

Orcid: 0009-0007-4827-6830

According to our database1, Annan Yu authored at least 14 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
A Deep State Space Model for Rainfall-Runoff Simulations.
CoRR, January, 2025

2024
Leveraging the Hankel norm approximation and data-driven algorithms in reduced order modeling.
Numer. Linear Algebra Appl., August, 2024

Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting.
CoRR, 2024

Tuning Frequency Bias of State Space Models.
CoRR, 2024

There is HOPE to Avoid HiPPOs for Long-memory State Space Models.
CoRR, 2024

How to reveal the rank of a matrix?
CoRR, 2024

Robustifying State-space Models for Long Sequences via Approximate Diagonalization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Leveraging the Hankel norm approximation and block-AAA algorithms in reduced order modeling.
CoRR, 2023

Tuning Frequency Bias in Neural Network Training with Nonuniform Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A Quadrature Perspective on Frequency Bias in Neural Network Training with Nonuniform Data.
CoRR, 2022

On the stability of unevenly spaced samples for interpolation and quadrature.
CoRR, 2022

$H$-Chromatic Symmetric Functions.
Electron. J. Comb., 2022

Approximation by polynomial splines on curved triangulations.
Comput. Aided Geom. Des., 2022

2021
Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks.
CoRR, 2021


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