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 ...

To improve the model’s performance, we introduce a novel loss function based on the ϵ -insensitive loss function used for SVM regression. This loss function is specifically designed for evaluating the ...

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 ...