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Xi Geng

2 accepted papers

2024

Identifiability Analysis of Linear ODE Systems with Hidden Confounders

NeurIPS 2024poster

The identifiability analysis of linear Ordinary Differential Equation (ODE) systems is a necessary prerequisite for making reliable causal inferences about these systems. While identifiability has been well studied in scenarios where the system is fully observable, the conditions for identifiability…

Cited by 0SourcePDFScholar
2023

Generator Identification for Linear SDEs with Additive and Multiplicative Noise

NeurIPS 2023poster

In this paper, we present conditions for identifying the generator of a linear stochastic differential equation (SDE) from the distribution of its solution process with a given fixed initial state. These identifiability conditions are crucial in causal inference using linear SDEs as they enable the…

Cited by 5SourcePDFScholar