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19992026
most citedSecondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging

976 citations

Showing 2020 · cs.LGShow all

5 papers · 2 filters

cs.LG2020★ 64 cited

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization

Jiyang Xie, Zhanyu Ma, and Jianjun Lei +4

Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate o…

cs.LG2020

Force myography benchmark data for hand gesture recognition and transfer learning

Thomas Buhl Andersen, Rógvi Eliasen, Mikkel Jarlund +1

Force myography has recently gained increasing attention for hand gesture recognition tasks. However, there is a lack of publicly available benchmark data, with most existing studi…

cs.LG2020

A general framework for defining and optimizing robustness

Alessandro Tibo, Manfred Jaeger, Kim G. Larsen

Robustness of neural networks has recently attracted a great amount of interest. The many investigations in this area lack a precise common foundation of robustness concepts. There…

cs.LG2020★ 66 cited

Relational Fusion Networks: Graph Convolutional Networks for Road Networks

Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen

The application of machine learning techniques in the setting of road networks holds the potential to facilitate many important intelligent transportation applications. Graph Convo…

cs.LG2020★ 7 cited

CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods

Wei Zhang, Thomas Kobber Panum, Somesh Jha +2

We study the problem of learning Granger causality between event types from asynchronous, interdependent, multi-type event sequences. Existing work suffers from either limited mode…