Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
Permission granted by Office of the Comptroller of the Currency VALT, a fully digital bank led by a group of former U.S. Bank executives, has received conditional approval for a national charter by ...
DAVENPORT, Iowa — Earlier this month at the AMS Conference in Houston, Texas, the National Weather Service Storm Prediction Center announced new severe classifications coming to severe weather ...
Researchers in Prof. Tong-Yi Zhang’s lab have introduced a spatial-adaptive active-learning workflow that significantly accelerates the search for highly durable OER catalysts, addressing one of the ...
You can use any of our models with torch.hub.load. We provide 2 classes of models for each of our 3 submodels of the CVAE-WGAN architecture cvae-wgan submodels: - CVAE: Conditional Variational ...
Researchers present a new generative AI model that can simultaneously design catalyst structures and predict their performance under specific reaction conditions. CatDRX is a generative AI framework ...
Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels A data set of 1052 patients with human epidermal growth factor receptor 2 ...
Following @Giulero suggestion, I will try to implement a Conditional Variational AutoEncoder to directly connect the input of the aerodynamic dataset (attitude and joint configurations) to the output ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results