20 citations · 39 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
stat.ML2024
Deep Learning-based Approaches for State Space Models: A Selective Review
Jiahe Lin, George Michailidis
State-space models (SSMs) offer a powerful framework for dynamical system analysis, wherein the temporal dynamics of the system are assumed to be captured through the evolution of…
cs.LG2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity
Jiahe Lin, Huitian Lei, George Michailidis
Granger causality has been widely used in various application domains to capture lead-lag relationships amongst the components of complex dynamical systems, and the focus in extant…