RAT-CC: A Recurrent Autoencoder for Time-Series Compression and Classification Abstract: The growth of interconnected devices has led to an enormous volume of temporal data that requires specialized ...

Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, ...

Here I create two Juypter notebooks, one for KAN-based AutoEncoder and another for MLP-based AutoEncoder. My toy example shows that KAN is way better than MLP in representing sinusoidal signals, which ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...