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. 2305.01821
  4. Cited By
pyPESTO: A modular and scalable tool for parameter estimation for
  dynamic models

pyPESTO: A modular and scalable tool for parameter estimation for dynamic models

2 May 2023
Yannik Schälte
Fabian Fröhlich
P. J. Jost
Jakob Vanhoefer
Dilan Pathirana
P. Stapor
Polina Lakrisenko
Dantong Wang
Elba Raimúndez-Álvarez
Simon Merkt
Leonard Schmiester
Philipp Städter
Stephan Grein
E. Dudkin
Domagoj Dorešić
Daniel Weindl
Jan Hasenauer
ArXivPDFHTML

Papers citing "pyPESTO: A modular and scalable tool for parameter estimation for dynamic models"

2 / 2 papers shown
Title
Non-Negative Universal Differential Equations With Applications in
  Systems Biology
Non-Negative Universal Differential Equations With Applications in Systems Biology
Maren Philipps
Antonia Körner
Jakob Vanhoefer
Dilan Pathirana
Jan Hasenauer
AI4CE
PINN
25
2
0
20 Jun 2024
Assessment of Uncertainty Quantification in Universal Differential
  Equations
Assessment of Uncertainty Quantification in Universal Differential Equations
Nina Schmid
David Fernandes del Pozo
Willem Waegeman
Jan Hasenauer
AI4CE
58
1
0
13 Jun 2024
1