Along with the successful deployment of deep neural networks in several
...
Conformal regression provides prediction intervals with global coverage
...
Data collected from the real world tends to be biased, unbalanced, and a...
Explanations are crucial parts of deep neural network (DNN) classifiers....
With the prospect of automating a number of chemical tasks with high
fid...
Image captioning has recently demonstrated impressive progress largely o...
Image captioning systems have made substantial progress, largely due to ...
Tabular datasets are ubiquitous in data science applications. Given thei...
We introduce Unbalanced Sobolev Descent (USD), a particle descent algori...
We propose the Sobolev Independence Criterion (SIC), an interpretable
de...
Analog arrays are a promising upcoming hardware technology with the pote...
Neuromorphic engineering combines the architectural and computational
pr...