Publications
Explore 3,230 academic publications
Representation Learning: A Review and New Perspectives
The success of machine learning algorithms generally depends on data representation, and we hypothesize that this is because different representations can entangle and hide more...
Safety, Activity, and Immune Correlates of Anti–PD-1 Antibody in Cancer
Anti-PD-1 antibody produced objective responses in approximately one in four to one in five patients with non-small-cell lung cancer, melanoma, or renal-cell cancer; the adverse...
Squeeze-and-Excitation Networks
The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial a...
Generative adversarial networks
Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a c...
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring
Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumo...
Planetary boundaries: Guiding human development on a changing planet
Crossing the boundaries in global sustainability The planetary boundary (PB) concept, introduced in 2009, aimed to define the environmental limits within which humanity can safe...