Researchers have developed a gene therapy that significantly slowed motor function loss in preclinical models of amyotrophic lateral sclerosis (ALS), offering new hope for treating the devastating ...

Bai et al. [54] proposed an unsupervised autoencoder framework that uses Random Fourier Feature embeddings for clustering modulation signals. Combined with a novel separable loss function, their model ...

On March 24, 2025, the U.S. National Institute of Standards and Technology (“NIST”) published a report titled “Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and ...

As shown in the figure, my mel_loss and vq_loss in the second stage were only slightly higher (1 to 2) than when I initially entered the second stage. However, I observed the following phenomena: (1) ...

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...

In my understanding, the loss function is composed of MSE, KL divergence term, and a discriminator regularization (Probably multiplied by a small coefficient). Lastly, I would like to confirm if my ...

Abstract: This research introduces least square adversarial autoencoder (LSAA)-an autoencoder that is able to reconstruct data and also generate data that has characteristics similar to data ...