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

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

Reference:

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamicsN. Mudrik, Y. Chen, E. Yezerts, C.J. Rozell and A. Charles. November 2022. New Orleans, LA.

Bibtex Entry:

@Conference{mudrik.22,
    author = 	 {Mudrik, N. and 	Chen, Y. and Yezerts, E. and Rozell, C.J. and Charles, A.},
	title={Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics},
	booktitle={Women in Machine Learning (WiML) Workshop},
	month = nov,
	year = 2022,
	note = {New Orleans, LA.}
}