ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2409.03231
  4. Cited By
State-space models are accurate and efficient neural operators for dynamical systems

State-space models are accurate and efficient neural operators for dynamical systems

28 January 2025
Zheyuan Hu
Nazanin Ahmadi Daryakenari
Qianli Shen
Kenji Kawaguchi
George Karniadakis
    MambaAI4CE
ArXiv (abs)PDFHTML

Papers citing "State-space models are accurate and efficient neural operators for dynamical systems"

5 / 55 papers shown
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
672
11,803
0
21 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.7K
217,209
0
10 Dec 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural NetworksNeural Information Processing Systems (NeurIPS), 2014
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
1.1K
21,586
0
10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2014
Dong Wang
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.8K
25,306
0
03 Jun 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural NetworksInternational Conference on Machine Learning (ICML), 2012
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
607
5,687
0
21 Nov 2012
Previous
12