Discrete gene regulatory networks (GRNs) play a vital role in the study ...
We study how to evaluate the quantitative information content of a regio...
Cross-entropy loss with softmax output is a standard choice to train neu...
Ever since the advent of AlexNet, designing novel deep neural architectu...
Mutual information is widely applied to learn latent representations of
...
Despite great popularity of applying softmax to map the non-normalised
o...
Human eyes concentrate different facial regions during distinct cognitiv...
Eye movement patterns reflect human latent internal cognitive activities...
Crowd predictions have demonstrated powerful performance in predicting f...
Wagner's modularity inducing problem domain is a key contribution to the...