1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series
Anna Wong, Shu Ge, Nassim Oufattole +4
Sepsis is a life-threatening condition triggered by an extreme infection response. Our objective is to forecast sepsis patient outcomes using their medical history and treatments,…
quant-ph2023★ 1 cited
Faster-than-Clifford Simulations of Entanglement Purification Circuits and Their Full-stack Optimization
Vaishnavi L. Addala, Shu Ge, Stefan Krastanov
Quantum Entanglement is a fundamentally important resource in Quantum Information Science; however, generating it in practice is plagued by noise and decoherence, limiting its util…
cs.LG2023★ 1 cited
Model-agnostic Measure of Generalization Difficulty
Akhilan Boopathy, Kevin Liu, Jaedong Hwang +3
The measure of a machine learning algorithm is the difficulty of the tasks it can perform, and sufficiently difficult tasks are critical drivers of strong machine learning models.…