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Aiqing Zhu

2 accepted papers

2025

Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images

ICLR 2025poster

Continuous dynamical systems are cornerstones of many scientific and engineering disciplines. While machine learning offers powerful tools to model these systems from trajectory data, challenges arise when these trajectories are captured as images, resulting in pixel-level observations that are disc…

Cited by 0SourcePDFScholar
2022

On Numerical Integration in Neural Ordinary Differential Equations

ICML 2022spotlight

The combination of ordinary differential equations and neural networks, i.e., neural ordinary differential equations (Neural ODE), has been widely studied from various angles. However, deciphering the numerical integration in Neural ODE is still an open challenge, as many researches demonstrated tha…