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20172024
most citedYou Only Need Adversarial Supervision for Semantic Image Synthesis

70 citations

Showing 2019Show all

12 papers · 1 filter

cs.LG20195 cited

Differential Bayesian Neural Nets

Andreas Look, Melih Kandemir

Neural Ordinary Differential Equations (N-ODEs) are a powerful building block for learning systems, which extend residual networks to a continuous-time dynamical system. We propose…

cs.CR20197 cited

On the Robustness of Signal Characteristic-Based Sender Identification

Marcel Kneib, Oleg Schell, Christopher Huth

Vehicles become more vulnerable to remote attackers in modern days due to their increasing connectivity and range of functionality. Such increased attack vectors enable adversaries…

cs.CV20191 cited

Multi Modal Semantic Segmentation using Synthetic Data

Kartik Srivastava, Akash Kumar Singh, Guruprasad M. Hegde

Semantic understanding of scenes in three-dimensional space (3D) is a quintessential part of robotics oriented applications such as autonomous driving as it provides geometric cues…

cs.LG20193 cited

Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

Matilde Gargiani, Aaron Klein, Stefan Falkner +1

We propose probabilistic models that can extrapolate learning curves of iterative machine learning algorithms, such as stochastic gradient descent for training deep networks, based…

cs.LG201925 cited

Black-box Adversarial Attacks with Bayesian Optimization

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott +1

We focus on the problem of black-box adversarial attacks, where the aim is to generate adversarial examples using information limited to loss function evaluations of input-output p…

cs.SE2019

Proof of Compositionality of CFT Correctness

Simon Greiner, Peter Munk, Arne Nordmann

In the paper Compositionality of Component Fault Trees, we present a discussion of the compositionality of correctness of component fault trees. In this technical report, we presen…