7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.LG2019★ 7 cited
Data-Efficient Mutual Information Neural Estimator
Xiao Lin, Indranil Sur, Samuel A. Nastase +3
Measuring Mutual Information (MI) between high-dimensional, continuous, random variables from observed samples has wide theoretical and practical applications. Recent work, MINE (B…
cs.LG2018
Shared Representational Geometry Across Neural Networks
Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow +3
Different neural networks trained on the same dataset often learn similar input-output mappings with very different weights. Is there some correspondence between these neural netwo…
physics.data-an2017
A combinatorial framework to quantify peak/pit asymmetries in complex dynamics
Uri Hasson, Jacopo Iacovacci, Ben Davis +4
We explore a combinatorial framework which efficiently quantifies the asymmetries between minima and maxima in local fluctuations of time series. We firstly showcase its performanc…