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cs.LG2026
Function-Valued Causal Influence in Nonlinear Time Series
Valentina V. Kuskova, Dmitry Zaytsev, Michael Coppedge
Causal discovery in time series is increasingly performed using nonlinear machine-learning models, yet the resulting causal relationships are almost always summarized by scalar edg…
cs.LG2026
Trajectory-Aware Reliability Modeling of Democratic Systems
Dmitry Zaytsev, Valentina Kuskova, Michael Coppedge
Failures in complex systems often emerge through gradual degradation and the propagation of stress across interacting components rather than through isolated shocks. Democratic sys…
cs.LG2026
From Causal Discovery to Dynamic Causal Inference in Neural Time Series
Dmitry Zaytsev, Valentina Kuskova, Michael Coppedge
Time-varying causal models provide a powerful framework for studying dynamic scientific systems, yet most existing approaches assume that the underlying causal network is known a p…