ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.10102
  4. Cited By
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical
  Matrices

Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices

17 March 2023
Yian Chen
M. Anitescu
ArXiv (abs)PDFHTML

Papers citing "Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices"

3 / 3 papers shown
Title
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble
  Kalman Filters
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
67
5
0
25 Oct 2023
Combining Monte Carlo and Tensor-network Methods for Partial
  Differential Equations via Sketching
Combining Monte Carlo and Tensor-network Methods for Partial Differential Equations via Sketching
Yian Chen
Y. Khoo
50
2
0
29 May 2023
Generative Modeling via Hierarchical Tensor Sketching
Generative Modeling via Hierarchical Tensor Sketching
Yifan Peng
Yian Chen
E. Stoudenmire
Y. Khoo
61
15
0
11 Apr 2023
1