Machine learning methods for radio frequency (RF) device fingerprinting typically rely on convolutional neural net (CNN) models. Transformer-based models have outperformed CNNs for modulation ...

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 ...

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This paper proposes a novel approach using the Noisy-Student technique for anomaly detection. It addresses data contamination by combining a density-estimation teacher model for pseudo-labeling with a ...