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Haoxuan Chen

Stanford University

12 papers hereh-index 71.4k citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author9

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • math.NA3
  • math.ST1
  • quant-ph1
  • stat.CO1
affiliations
  • Stanford University
Homepage
same name
  • Haoxuan Chen — 1 paper
  • Haoxuan Chen — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedPhysics-Informed Neural Operator for Learning Partial Differential Equations

160 citations · 172 across the 10 of their papers we have counts for

collaborators
Showing math.NAShow all

3 papers · 1 filter

math.NA2026

Variational inference and density estimation with non-negative tensor of hierarchical tucker format

Xun Tang, Haoxuan Chen, Lexing Ying

In this work, we present an efficient method to compress a high-dimensional discrete probability function, i.e., a probability tensor, into a non-negative hierarchical Tucker forma…

math.NA2025

Approximation of High-Dimensional Gibbs Distributions with Functional Hierarchical Tensors

Nan Sheng, Xun Tang, Haoxuan Chen +1

The numerical representation of high-dimensional Gibbs distributions is challenging due to the curse of dimensionality manifesting through the intractable normalization constant ca…

math.NA2021★ 11 cited

Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality

Yiping Lu, Haoxuan Chen, Jianfeng Lu +2

In this paper, we study the statistical limits of deep learning techniques for solving elliptic partial differential equations (PDEs) from random samples using the Deep Ritz Method…

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