Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-series (bibtex)

by N. Mudrik, Y. Chen, E. Yezerets, C. Rozell and A. Charles

Reference:

Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-seriesN. Mudrik, Y. Chen, E. Yezerets, C. Rozell and A. Charles. July 2024.

Bibtex Entry:

@Conference{mudrik.24b,
  author = 	 {Mudrik, N. and Chen, Y. and Yezerets, E. and Rozell, C. and Charles, A.},
  title = 	 {Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-series},
  booktitle =	 {International Conference on Machine Learning, Workshop on Geometry-grounded Representation Learning and Generative Modeling},
  year =	 2024,
  address =	 {Vienna, Austria},
  month =	 jul
}