751 citations · 855 across the 3 of their papers we have counts for
3 papers
cs.LG2017★ 85 cited
Direct-Manipulation Visualization of Deep Networks
Daniel Smilkov, Shan Carter, D. Sculley +2
The recent successes of deep learning have led to a wave of interest from non-experts. Gaining an understanding of this technology, however, is difficult. While the theory is impor…
cs.LG2017★ 751 cited
SmoothGrad: removing noise by adding noise
Daniel Smilkov, Nikhil Thorat, Been Kim +2
Explaining the output of a deep network remains a challenge. In the case of an image classifier, one type of explanation is to identify pixels that strongly influence the final dec…
physics.soc-ph2011★ 19 cited
Rich-club and page-club coefficients for directed graphs
Daniel Smilkov, Ljupco Kocarev
Rich-club and page-club coefficients and their null models are introduced for directed graphs. Null models allow for a quantitative discussion of the rich-club and page-club phenom…