Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics

7 June 2022

Papers citing "Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics"

5 / 5 papers shown

Title
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 36 3 0 07 Oct 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu D. Zoltowski Aditya Nair David Anderson Lea Duncker Scott W. Linderman 36 3 0 19 Jul 2024
Spectral learning of Bernoulli linear dynamical systems models Iris R. Stone Yotam Sagiv Il Memming Park Jonathan W. Pillow 32 1 0 03 Mar 2023
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 36 69 0 26 Oct 2016