works on

From the 1 of 5 linked papers with an AI index.

collaborators

5 papers

math.AP2026

Axisymmetric type II blowup solutions to the three-dimensional Keller-Segel system

Thomas Y. Hou, Van Tien Nguyen, Peicong Song

The paper constructs axisymmetric solutions of the three‑dimensional parabolic‑elliptic Keller‑Segel system that develop finite‑time type II blowup, with mass concentrating along a…

math.AP2026

Nonuniqueness of Leray-Hopf solutions to the unforced incompressible 3D Navier-Stokes Equation

Thomas Hou, Yixuan Wang, Changhe Yang

The nonuniqueness of Leray-Hopf solutions to the unforced incompressible 3D Navier-Stokes equations is one of the central open problems in mathematical fluid dynamics. In this pape…

cs.LG2025

High precision PINNs in unbounded domains: application to singularity formulation in PDEs

Yixuan Wang, Ziming Liu, Zongyi Li +2

We investigate the high-precision training of Physics-Informed Neural Networks (PINNs) in unbounded domains, with a special focus on applications to singularity formulation in PDEs…

cs.LG2025

KAN: Kolmogorov-Arnold Networks

Ziming Liu, Yixuan Wang, Sachin Vaidya +5

Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have…

cs.LG2025

On the expressiveness and spectral bias of KANs

Yixuan Wang, Jonathan W. Siegel, Ziming Liu +1

Kolmogorov-Arnold Networks (KAN) \cite{liu2024kan} were very recently proposed as a potential alternative to the prevalent architectural backbone of many deep learning models, the…