1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
Tianyu Chen, Kevin Bello, Bryon Aragam +1
Structural causal models (SCMs) are widely used in various disciplines to represent causal relationships among variables in complex systems. Unfortunately, the underlying causal st…
cond-mat.stat-mech2016★ 1 cited
Depict noise-driven nonlinear dynamic networks from output data by using high-order correlations
Yang Chen, Zhaoyang Zhang, Tianyu Chen +2
Many practical systems can be described by dynamic networks, for which modern technique can measure their output signals, and accumulate extremely rich data. Nevertheless, the netw…