Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction

7 June 2024

Papers citing "Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction"

8 / 8 papers shown

Title
Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks Nicolas Bessone 33 0 0 23 Feb 2025
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction Manuel Brenner Christoph Jurgen Hemmer Zahra Monfared Daniel Durstewitz AI4CE 21 0 0 18 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 29 2 0 07 Oct 2024
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 30 8 0 04 Oct 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 35 29 0 06 Jul 2022
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 57 50 0 14 Oct 2021
The Lottery Ticket Hypothesis for Object Recognition Sharath Girish Shishira R. Maiya Kamal Gupta Hao Chen L. Davis Abhinav Shrivastava 73 60 0 08 Dec 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 178 1,027 0 06 Mar 2020