Xiaoyu Xie

most citedStatistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

math.PR2024

The $ℓ_{r}$ -Levy-Grothendieck problem and $r \to p$ norms of Levy matrices

Kavita Ramanan, Xiaoyu Xie

Given an $n \times n$ matrix $A_{n}$ and $1 \leq r, p \leq \infty$ , consider the following quadratic optimization problem referred to as the $ℓ_{r}$ -Grothendieck problem: \begin{align}…

cs.LG2024

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization

Xiaoyu Xie, Saviz Mowlavi, Mouhacine Benosman

Spatiotemporal modeling is critical for understanding complex systems across various scientific and engineering disciplines, but governing equations are often not fully known or co…

cs.LG2023★ 3 cited

Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process

Yangfan Li, Satyajit Mojumder, Ye Lu +7

A digital twin (DT) is a virtual representation of physical process, products and/or systems that requires a high-fidelity computational model for continuous update through the int…

math.PR2023

Quenched large deviation principles for random projections of $ℓ_{p}^{n}$ balls

Patrick Lopatto, Kavita Ramanan, Xiaoyu Xie

Let $(k_{n})_{n \in N}$ be a sequence of positive integers growing to infinity at a sublinear rate, $k_{n} \to \infty$ and $k_{n} / n \to 0$ as $n \rightarrow \inf…

The ℓr​-Levy-Grothendieck problem and r→p norms of Levy matrices

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization

Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process

Quenched large deviation principles for random projections of ℓpn​ balls

The $ℓ_{r}$ -Levy-Grothendieck problem and $r \to p$ norms of Levy matrices

Quenched large deviation principles for random projections of $ℓ_{p}^{n}$ balls