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cs.LG2024
Robust Fourier Neural Networks
Halyun Jeong, Jihun Han
Fourier embedding has shown great promise in removing spectral bias during neural network training. However, it can still suffer from high generalization errors, especially when th…
cs.LG2023
Learning In-between Imagery Dynamics via Physical Latent Spaces
Jihun Han, Yoonsang Lee, Anne Gelb
We present a framework designed to learn the underlying dynamics between two images observed at consecutive time steps. The complex nature of image data and the lack of temporal in…