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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.10586
  4. Cited By
D-CIPHER: Discovery of Closed-form Partial Differential Equations
v1v2v3 (latest)

D-CIPHER: Discovery of Closed-form Partial Differential Equations

Neural Information Processing Systems (NeurIPS), 2022
21 June 2022
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "D-CIPHER: Discovery of Closed-form Partial Differential Equations"

2 / 2 papers shown
Title
When is a System Discoverable from Data? Discovery Requires Chaos
When is a System Discoverable from Data? Discovery Requires Chaos
Zakhar Shumaylov
Peter Zaika
Philipp Scholl
Gitta Kutyniok
Lior Horesh
Carola-Bibiane Schönlieb
95
0
0
12 Nov 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEsInternational Conference on Learning Representations (ICLR), 2025
Krzysztof Kacprzyk
Mihaela van der Schaar
478
3
0
30 Jan 2025
1