Search Results for author:
Found 3 papers, 0 papers with code
Learning nonparametric ordinary differential equations from noisy data
Learning nonparametric systems of Ordinary Differential Equations (ODEs) dot x = f(t, x) from noisy data is an emerging machine learning topic.
Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks
Optical coherence tomography (OCT) is a noninvasive imaging modality which can be used to obtain depth images of the retina.
Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss
We consider the problem of group testing with sum observations and noiseless answers, in which we aim to locate multiple objects by querying the number of objects in each of a sequence of chosen sets.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
