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20102026
most citedSpectral Normalization for Generative Adversarial Networks

3.4k citations · 3.9k across the 67 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

math.CO2021

On the three graph invariants related to matching of finite simple graphs

Kazunori Matsuda, Yuichi Yoshida

Let be a finite simple graph on the vertex set and let , and denote the induced matching number, the minimum…

cs.DS2021

Average Sensitivity of Dynamic Programming

Soh Kumabe, Yuichi Yoshida

When processing data with uncertainty, it is desirable that the output of the algorithm is stable against small perturbations in the input. Varma and Yoshida [SODA'21] recently for…

cs.DS2021

Local Algorithms for Estimating Effective Resistance

Pan Peng, Daniel Lopatta, Yuichi Yoshida +1

Effective resistance is an important metric that measures the similarity of two vertices in a graph. It has found applications in graph clustering, recommendation systems and netwo…

cs.DS2021

Spectral Hypergraph Sparsifiers of Nearly Linear Size

Michael Kapralov, Robert Krauthgamer, Jakab Tardos +1

Graph sparsification has been studied extensively over the past two decades, culminating in spectral sparsifiers of optimal size (up to constant factors). Spectral hypergraph spars…

cs.DS2021

Online Risk-Averse Submodular Maximization

Tasuku Soma, Yuichi Yoshida

We present a polynomial-time online algorithm for maximizing the conditional value at risk (CVaR) of a monotone stochastic submodular function. Given i.i.d. samples from an und…

cs.CL2021

RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding

Danushka Bollegala, Huda Hakami, Yuichi Yoshida +1

Embedding entities and relations of a knowledge graph in a low-dimensional space has shown impressive performance in predicting missing links between entities. Although progresses…