5 citations · 7 across the 4 of their papers we have counts for
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stat.ML2024★ 1 cited
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
Yenho Chen, Noga Mudrik, Kyle A. Johnsen +3
Time-varying linear state-space models are powerful tools for obtaining mathematically interpretable representations of neural signals. For example, switching and decomposed models…
eess.SY2024★ 1 cited
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability
Noga Mudrik, Eva Yezerets, Yenho Chen +2
Identifying latent interactions within complex systems is key to unlocking deeper insights into their operational dynamics, including how their elements affect each other and contr…