10 citations · 13 across the 4 of their papers we have counts for
4 papers
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes +2
Mixup~\cite{zhang2017mixup} is a recently proposed method for training deep neural networks where additional samples are generated during training by convexly combining random pair…
Spatiotemporal Modeling of Node Temperatures in Supercomputers
Curtis B Storlie, Brian J Reich, William N Rust +4
Los Alamos National Laboratory (LANL) is home to many large supercomputing clusters. These clusters require an enormous amount of power (~500-2000 kW each), and most of this energy…
Monitoring the Sky with the Prototype All-Sky Imager on the LWA1
K. S. Obenberger, G. B. Taylor, J. M. Hartman +8
We present a description of the Prototype All-Sky Imager (PASI), a backend correlator and imager of the first station of the Long Wavelength Array (LWA1). PASI cross-correlates a l…
Comparison of RFI Mitigation Strategies for Dispersed Pulse Detection
John Hogden, Scott Vander Wiel, Geoffrey C. Bower +3
Impulsive radio-frequency signals from astronomical sources are dispersed by the frequency dependent index of refraction of the interstellar media and so appear as chirped signals…