Annan Yu

22 papers A* 4Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Deep State Space Model for Rainfall-Runoff Simulations.
CoRR
Yihan Wang, Lujun Zhang, Annan Yu, N. Benjamin Erichson, Tiantian Yang
2025 J jnl
Block-Biased Mamba for Long-Range Sequence Processing.
CoRR
Annan Yu, N. Benjamin Erichson
2025 J jnl
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting.
Trans. Mach. Learn. Res.
Soon Hoe Lim, Yijin Wang, Annan Yu, Emma Hart, Michael W. Mahoney, Xiaoye Sherry Li, N. Benjamin Erichson
2025 A* conf
HOPE for a Robust Parameterization of Long-memory State Space Models.
ICLR
Annan Yu, Michael W. Mahoney, N. Benjamin Erichson
2025 J jnl
HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone.
CoRR
Yihan Wang, Annan Yu, Lujun Zhang, Charuleka Varadharajan, N. Benjamin Erichson
2025 A* conf
Tuning Frequency Bias of State Space Models.
ICLR
Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson
2025 J jnl
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility.
CoRR
Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Yuyang Wang
2025 J jnl
Understanding the Implicit Biases of Design Choices for Time Series Foundation Models.
CoRR
Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Yuyang Wang
2024 J jnl
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting.
CoRR
Soon Hoe Lim, Yijin Wang, Annan Yu, Emma Hart, Michael W. Mahoney, Xiaoye S. Li, N. Benjamin Erichson
2024 J jnl
How to reveal the rank of a matrix?
CoRR
Anil Damle, Silke Glas, Alex Townsend, Annan Yu
2024 J jnl
Leveraging the Hankel norm approximation and data-driven algorithms in reduced order modeling.
Numer. Linear Algebra Appl.
Annan Yu, Alex Townsend
2024 A* conf
Robustifying State-space Models for Long Sequences via Approximate Diagonalization.
ICLR
Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson
2024 J jnl
There is HOPE to Avoid HiPPOs for Long-memory State Space Models.
CoRR
Annan Yu, Michael W. Mahoney, N. Benjamin Erichson
2024 J jnl
Tuning Frequency Bias of State Space Models.
CoRR
Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson
2023 J jnl
Leveraging the Hankel norm approximation and block-AAA algorithms in reduced order modeling.
CoRR
Annan Yu, Alex Townsend
2023 J jnl
Robustifying State-space Models for Long Sequences via Approximate Diagonalization.
CoRR
Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson
2023 A* conf
Tuning Frequency Bias in Neural Network Training with Nonuniform Data.
ICLR
Annan Yu, Yunan Yang, Alex Townsend
2022 J jnl
$H$-Chromatic Symmetric Functions.
Electron. J. Comb.
Nancy Mae Eagles, Angèle M. Foley, Alice Huang, Elene Karangozishvili, Annan Yu
2022 J jnl
A Quadrature Perspective on Frequency Bias in Neural Network Training with Nonuniform Data.
CoRR
Annan Yu, Yunan Yang, Alex Townsend
2022 J jnl
Approximation by polynomial splines on curved triangulations.
Comput. Aided Geom. Des.
Larry L. Schumaker, Annan Yu
2022 J jnl
On the stability of unevenly spaced samples for interpolation and quadrature.
CoRR
Annan Yu, Alex Townsend
2021 J jnl
Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks.
CoRR
Annan Yu, Chloé Becquey, Diana Halikias, Matthew Esmaili Mallory, Alex Townsend