2.2k citations · 2.2k across the 4 of their papers we have counts for
4 papers
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch, Chandan Singh, Karl Kumbier +2
Machine-learning models have demonstrated great success in learning complex patterns that enable them to make predictions about unobserved data. In addition to using models for pre…
Interpreting Convolutional Neural Networks Through Compression
Reza Abbasi-Asl, Bin Yu
Convolutional neural networks (CNNs) achieve state-of-the-art performance in a wide variety of tasks in computer vision. However, interpreting CNNs still remains a challenge. This…
Structural Compression of Convolutional Neural Networks
Reza Abbasi-Asl, Bin Yu
Deep convolutional neural networks (CNNs) have been successful in many tasks in machine vision, however, millions of weights in the form of thousands of convolutional filters in CN…
Do retinal ganglion cells project natural scenes to their principal subspace and whiten them?
Reza Abbasi-Asl, Cengiz Pehlevan, Bin Yu +1
Several theories of early sensory processing suggest that it whitens sensory stimuli. Here, we test three key predictions of the whitening theory using recordings from 152 ganglion…