output
20022025
most citedMethods for Interpreting and Understanding Deep Neural Networks

2.8k citations

Showing 2020Show all

132 papers · 1 filter

cs.DS2020

Outliers Detection Is Not So Hard: Approximation Algorithms for Robust Clustering Problems Using Local Search Techniques

Yishui Wang, Rolf H. Möhring, Chenchen Wu +2

In this paper, we consider two types of robust models of the -median/-means problems: the outlier-version (-MedO/-MeaO) and the penalty-version (-MedP/-MeaP), in…

cond-mat.soft20201 cited

Shape of a sliding capillary contact

Valentin L. Popov

We consider a classical problem of a capillary neck between a parabolic body and a plane with a small amount of liquid in between. In the state of thermodynamic equilibrium, the co…

astro-ph.HE202055 cited

The impact of Solar wind variability on pulsar timing

C. Tiburzi, G. M. Shaifullah, C. G. Bassa +22

High-precision pulsar timing requires accurate corrections for dispersive delays of radio waves, parametrized by the dispersion measure (DM), particularly if these delays are varia…

astro-ph.EP202026 cited

Detectability of biosignatures on LHS 1140 b

Fabian Wunderlich, Markus Scheucher, John Lee Grenfell +4

Terrestrial extrasolar planets around low-mass stars are prime targets when searching for atmospheric biosignatures with current and near-future telescopes. The habitable-zone Supe…

cs.LG20204 cited

Towards Robust Explanations for Deep Neural Networks

Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller +1

Explanation methods shed light on the decision process of black-box classifiers such as deep neural networks. But their usefulness can be compromised because they are susceptible t…

eess.SP202019 cited

Secret Key Agreement with Physical Unclonable Functions: An Optimality Summary

Onur Günlü, Rafael F. Schaefer

We address security and privacy problems for digital devices and biometrics from an information-theoretic optimality perspective, where a secret key is generated for authentication…