7 citations · 12 across the 3 of their papers we have counts for
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cs.LG2019
Dimensionality compression and expansion in Deep Neural Networks
Stefano Recanatesi, Matthew Farrell, Madhu Advani +3
Datasets such as images, text, or movies are embedded in high-dimensional spaces. However, in important cases such as images of objects, the statistical structure in the data const…
cs.LG2018
Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning
Yao Zhang, Andrew M. Saxe, Madhu S. Advani +1
Finding parameters that minimise a loss function is at the core of many machine learning methods. The Stochastic Gradient Descent algorithm is widely used and delivers state of the…