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most citedMethods for Interpreting and Understanding Deep Neural Networks

2.8k citations

Showing 2017 · cs.DSShow all

11 papers · 2 filters

cs.DS2017★ 12 cited

Two Results on Slime Mold Computations

Ruben Becker, Vincenzo Bonifaci, Andreas Karrenbauer +2

We present two results on slime mold computations. In wet-lab experiments (Nature'00) by Nakagaki et al. the slime mold Physarum polycephalum demonstrated its ability to solve shor…

cs.DS2017★ 3 cited

A Sublinear Tester for Outerplanarity (and Other Forbidden Minors) With One-Sided Error

Hendrik Fichtenberger, Reut Levi, Yadu Vasudev +1

We consider one-sided error property testing of -minor freeness in bounded-degree graphs for any finite family of graphs that contains a minor of $K_{2,k…

cs.DS2017★ 12 cited

A Tight Analysis of the Parallel Undecided-State Dynamics with Two Colors

Andrea E. F. Clementi, Luciano Gualà, Francesco Pasquale +3

The \emph{Undecided-State Dynamics} is a well-known protocol for distributed consensus. We analyze it in the parallel \pull\ communication model on the complete graph for the \emph…

cs.DS2017★ 3 cited

Satiation in Fisher Markets and Approximation of Nash Social Welfare

Jugal Garg, Martin Hoefer, Kurt Mehlhorn

We study linear Fisher markets with satiation. In these markets, sellers have earning limits and buyers have utility limits. Beyond natural applications in economics, these markets…

cs.DS2017★ 8 cited

A Note on Hardness of Diameter Approximation

Karl Bringmann, Sebastian Krinninger

We revisit the hardness of approximating the diameter of a network. In the CONGEST model of distributed computing, rounds are necessary to compute the diameter [Fri…

cs.DS2017★ 1 cited

Improved Algorithms for Computing the Cycle of Minimum Cost-to-Time Ratio in Directed Graphs

Karl Bringmann, Thomas Dueholm Hansen, Sebastian Krinninger

We study the problem of finding the cycle of minimum cost-to-time ratio in a directed graph with nodes and edges. This problem has a long history in combinatorial optim…