output
20142026
most citedLayerwise learning for quantum neural networks

341 citations

researchers with a paper here
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Showing 2019Show all

5 papers · 1 filter

cs.RO2019★ 10 cited

Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving

Sascha Rosbach, Vinit James, Simon Großjohann +3

General-purpose planning algorithms for automated driving combine mission, behavior, and local motion planning. Such planning algorithms map features of the environment and driving…

math.NA2019★ 33 cited

Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM

Vasileios Tsiolakis, Matteo Giacomini, Ruben Sevilla +2

The computational cost of parametric studies currently represents the major limitation to the application of simulation-based engineering techniques in a daily industrial environme…

cs.CR2019★ 9 cited

A Question of Context: Enhancing Intrusion Detection by Providing Context Information

Simon Duque Anton, Daniel Fraunholz, Stephan Teuber +1

Due to the fourth industrial revolution, and the resulting increase in interconnectivity, industrial networks are more and more opened to publicly available networks. Apart from th…

cs.RO2019★ 51 cited

Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving

Sascha Rosbach, Vinit James, Simon Großjohann +2

Behavior and motion planning play an important role in automated driving. Traditionally, behavior planners instruct local motion planners with predefined behaviors. Due to the high…

stat.ML2019★ 11 cited

On Deep Set Learning and the Choice of Aggregations

Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt +1

Recently, it has been shown that many functions on sets can be represented by sum decompositions. These decompositons easily lend themselves to neural approximations, extending the…