Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Deep Neural ODE Operator Networks for PDEs
Cover Image

Deep Neural ODE Operator Networks for PDEs

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Li, Ziqian, Liu, Kang, Song, Yongcun, Yue, Hangrui, Zuazua, Enrique
Format: Preprint
Published: 2025
Subjects:
Machine Learning
Numerical Analysis
Optimization and Control
AMS Subject Classification: 65M99, 47-08, 68T07, 65D15
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2510.15651

Similar Items

  • Prox-PINNs: A Deep Learning Algorithmic Framework for Elliptic Variational Inequalities
    by: Gao, Yu, et al.
    Published: (2025)
  • Regularity Analysis and Tensor Neural Network Methods for Quasiperiodic Elliptic Equations
    by: Ren, Jingze, et al.
    Published: (2026)
  • Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs and Applications
    by: Li, Ziqian, et al.
    Published: (2024)
  • A Single-Loop Bilevel Deep Learning Method for Optimal Control of Obstacle Problems
    by: Song, Yongcun, et al.
    Published: (2026)
  • A Unified Framework for Lifted Training and Inversion Approaches
    by: Wang, Xiaoyu, et al.
    Published: (2025)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar