2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Domain-shift adaptation via linear transformations
Roberto Vega, Russell Greiner
A predictor, , learned with data from a source domain (A) might not be accurate on a target domain (B) when their distributions are different. Domain adaptation aims…
cs.LG2021
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
Roberto Vega, Leonardo Flores, Russell Greiner
Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR…