Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Authors: Thakur, Akshay, Kumar, Sawan, Zahr, Matthew, Chakraborty, Souvik
Format: Preprint
Published: 2025
Subjects:
Machine Learning
Online Access:https://arxiv.org/abs/2508.09623
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2508.09623

Similar Items

  • Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning
    by: Thakur, Akshay, et al.
    Published: (2025)
  • Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees
    by: Kumar, Sawan, et al.
    Published: (2026)
  • Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
    by: Kumar, Sawan, et al.
    Published: (2024)
  • Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics
    by: Kumar, Sawan, et al.
    Published: (2024)
  • MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
    by: Thakur, Akshay, et al.
    Published: (2024)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs