8 citations · 16 across the 3 of their papers we have counts for
3 papers
Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms
Kanishka Tyagi, Chinmay Rane, Michael Manry
We propose a multi-step training method for designing generalized linear classifiers. First, an initial multi-class linear classifier is found through regression. Then validation e…
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network
Chinmay Rane, Kanishka Tyagi, Sanjeev Malalur +2
Linear transformation of the inputs alters the training performance of feed-forward networks that are otherwise equivalent. However, most linear transforms are viewed as a pre-proc…
Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector
R. W. Gladen, V. A. Chirayath, A. J. Fairchild +3
We describe here an efficient machine-learning based approach for the optimization of parameters used for extracting the arrival time of waveforms, in particular those generated by…