Abstract: Evidential clustering is a promising clustering framework using Dempster–Shafer belief function theory to model uncertain data. However, evidential clustering needs to estimate more ...

Abstract: Deep learning models perform remarkably well on many classification tasks recently. The superior performance of deep neural networks relies on the large number of training data, which at the ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single ...

Integrating deep learning 3D tracking and biophysical EOD modeling for precise, noninvasive computational neuroethology in freely swimming weakly electric fish Reynaldo D. Pinto Caroline G. Forlim ...

A glass of water may look perfectly uniform, but at the molecular level, it could be carrying two different forms that are ...

Because Krea relinquishes centralized control over the downstream deployment of its open weights, the contract legally binds ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...