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cs.LG2026
Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems
Lulu Gong, Yongxu Zhang, Shreya Saxena
Neural activity often exhibits multiple timescales that can vary with behavioral states and task conditions. Identifying these timescales from neural recordings is important for be…
cs.LG2025
Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method
Lulu Gong, Shreya Saxena
Mixtures of linear dynamical systems (MoLDS) provide a path to model time-series data that exhibit diverse temporal dynamics across trajectories. However, its application remains c…