430 citations · 995 across the 30 of their papers we have counts for
4 papers · 1 filter
InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan, Qi Wei, Wenlin Wang +2
We propose a new method that uses deep learning techniques to solve the inverse problems. The inverse problem is cast in the form of learning an end-to-end mapping from observed da…
An inner-loop free solution to inverse problems using deep neural networks
Qi Wei, Kai Fan, Lawrence Carin +1
We propose a new method that uses deep learning techniques to accelerate the popular alternating direction method of multipliers (ADMM) solution for inverse problems. The ADMM upda…
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
Joseph Futoma, Sanjay Hariharan, Mark Sendak +5
Sepsis is a poorly understood and potentially life-threatening complication that can occur as a result of infection. Early detection and treatment improves patient outcomes, and as…
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
Joseph Futoma, Sanjay Hariharan, Katherine Heller
We present a scalable end-to-end classifier that uses streaming physiological and medication data to accurately predict the onset of sepsis, a life-threatening complication from in…