Technische Universität Kaiserslautern

research

∙ 05/30/2020

Rethinking Assumptions in Deep Anomaly Detection

Though anomaly detection (AD) can be viewed as a classification problem ...

Lukas Ruff, et al. ∙

research

∙ 09/16/2021

Explainability Requires Interactivity

When explaining the decisions of deep neural networks, simple stories ar...

Matthias Kirchler, et al. ∙

research

∙ 03/25/2021

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style

Conditional image synthesis from layout has recently attracted much inte...

Stanislav Frolov, et al. ∙

research

∙ 06/06/2019

Deep Semi-Supervised Anomaly Detection

Deep approaches to anomaly detection have recently shown promising resul...

Lukas Ruff, et al. ∙

research

∙ 09/21/2021

Learning Interpretable Concept Groups in CNNs

We propose a novel training methodology – Concept Group Learning (CGL) –...

Saurabh Varshneya, et al. ∙

research

∙ 07/26/2018

Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation

The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fat...

Xiaohao Cai, et al. ∙

research

∙ 07/11/2018

FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs

It is well known that many types of artificial neural networks, includin...

Vladimir Rybalkin, et al. ∙

research

∙ 07/07/2019

Copula & Marginal Flows: Disentangling the Marginal from its Joint

Deep generative networks such as GANs and normalizing flows flourish in ...

Magnus Wiese, et al. ∙

research

∙ 02/14/2017

Survey of reasoning using Neural networks

Reason and inference require process as well as memory skills by humans....

Amit Sahu, et al. ∙

research

∙ 10/13/2017

TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization

Recent research implies that training and inference of deep neural netwo...

Dominik Marek Loroch, et al. ∙

research

∙ 11/13/2015

Symbol Grounding Association in Multimodal Sequences with Missing Elements

In this paper, we extend a symbolic association framework for being able...

Federico Raue, et al. ∙

research

∙ 06/17/2016

Most central or least central? How much modeling decisions influence a node's centrality ranking in multiplex networks

To understand a node's centrality in a multiplex network, its centrality...

Sude Tavassoli, et al. ∙

research

∙ 06/14/2016

Relating Strong Spatial Cognition to Symbolic Problem Solving --- An Example

In this note, we discuss and analyse a shortest path finding approach us...

Ulrich Furbach, et al. ∙

research

∙ 09/12/2016

Active Canny: Edge Detection and Recovery with Open Active Contour Models

We introduce an edge detection and recovery framework based on open acti...

Muhammet Bastan, et al. ∙

research

∙ 05/09/2014

Variational Image Segmentation Model Coupled with Image Restoration Achievements

Image segmentation and image restoration are two important topics in ima...

Xiaohao Cai, et al. ∙

research

∙ 05/17/2017

Nemo/Hecke: Computer Algebra and Number Theory Packages for the Julia Programming Language

We introduce two new packages, Nemo and Hecke, written in the Julia prog...

Claus Fieker, et al. ∙

research

∙ 04/10/2017

Modular Techniques For Noncommutative Gröbner Bases

In this note, we extend modular techniques for computing Gröbner bases f...

Wolfram Decker, et al. ∙

research

∙ 12/04/2017

On Using Network Science in Mining Developers Collaboration in Software Engineering: A Systematic Literature Review

The goal of this study is to identify, review, and analyze the published...

Mohammed Abufouda, et al. ∙

research

∙ 11/12/2017

An introduction to approximate computing

Approximate computing is a research area where we investigate a wide spe...

M. Ammar Ben Khadra, et al. ∙

research

∙ 12/26/2017

Space-Efficient Algorithms for Longest Increasing Subsequence

Given a sequence of integers, we want to find a longest increasing subse...

Masashi Kiyomi, et al. ∙

research

∙ 11/29/2017

Learning Interesting Categorical Attributes for Refined Data Exploration

This work proposes and evaluates a novel approach to determine interesti...

Koninika Pal, et al. ∙

research

∙ 02/22/2017

Bad Primes in Computational Algebraic Geometry

Computations over the rational numbers often suffer from intermediate co...

Janko Boehm, et al. ∙

research

∙ 12/30/2016

On the computation of the HNF of a module over the ring of integers of a number field

We present a variation of the modular algorithm for computing the Hermit...

Jean-François Biasse, et al. ∙

research

∙ 12/29/2016

Computing in quotients of rings of integers

We develop algorithms to turn quotients of rings of rings of integers in...

Tommy Hofmann, et al. ∙

research

∙ 10/19/2017

E3Solver: decision tree unification by enumeration

We introduce E3Solver, a unification-based solver for programming-by-exa...

M. Ammar Ben Khadra, et al. ∙

research

∙ 12/01/2017

Reliable Distributed Authentication in Multi-Access Mobile Edge Computing

The fifth generation (5G) mobile telecommunication network is expected t...

Bin Han, et al. ∙

research

∙ 11/14/2017

Physical Layer Authentication for Mission Critical Machine Type Communication using Gaussian Mixture Model based Clustering

The application of Mission Critical Machine Type Communication (MC-MTC) ...

Andreas Weinand, et al. ∙

research

∙ 11/14/2017

Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication

The design of robust wireless communication systems for industrial appli...

Andreas Weinand, et al. ∙

research

∙ 11/10/2017

Providing Physical Layer Security for Mission Critical Machine Type Communication

The design of wireless systems for Mission Critical Machine Type Communi...

Andreas Weinand, et al. ∙

research

∙ 05/02/2016

Munchausen Iteration

We present a method for solving polynomial equations over idempotent ome...

Roland Meyer, et al. ∙

research

∙ 10/30/2017

Device-centric Energy Optimization for Edge Cloud Offloading

A wireless system is considered, where, computationally complex algorith...

Shreya Tayade, et al. ∙

research

∙ 01/22/2018

ACGreGate: A Framework for Practical Access Control for Applications using Weakly Consistent Databases

Scalable and highly available systems often require data stores that off...

Mathias Weber, et al. ∙

research

∙ 02/18/2018

Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation

We propose an efficient stochastic variational approach to GP classifica...

Florian Wenzel, et al. ∙

research

∙ 03/12/2018

Algorithmic Differentiation for Domain Specific Languages

Algorithmic Differentiation (AD) can be used to automate the generation ...

Max Sagebaum, et al. ∙

research

∙ 03/19/2018

An improved isomorphism test for bounded-tree-width graphs

We give a new fpt algorithm testing isomorphism of n-vertex graphs of tr...

Martin Grohe, et al. ∙

research

∙ 04/01/2018

Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks

This paper introduces a very challenging dataset of historic German docu...

Andreas Kölsch, et al. ∙

research

∙ 04/10/2018

Approximating multiobjective combinatorial optimization problems with the OWA criterion

The paper deals with a multiobjective combinatorial optimization problem...

André Chassein, et al. ∙

research

∙ 04/17/2018

Demystifying Deception Technology:A Survey

Deception boosts security for systems and components by denial, deceit, ...

Daniel Fraunholz, et al. ∙

research

∙ 04/23/2018

Wireless Communication for Modular Production Facilities

The growing demand for individualized products leads to need for a more ...

Christian Schellenberger, et al. ∙

research

∙ 05/04/2018

5G Island for Network Resilience and Autonomous Failsafe Operations

The resilience of 5G networks can be strongly challenged by central clou...

Bin Han, et al. ∙

research

∙ 06/15/2018

Bayesian Convolutional Neural Networks

We propose a Bayesian convolutional neural network built upon Bayes by B...

Felix Laumann, et al. ∙

research

∙ 06/27/2018

Implementation of a Near-Optimal Complex Root Clustering Algorithm

We describe Ccluster, a software for computing natural ϵ-clusters of com...

Rémi Imbach, et al. ∙

research

∙ 06/27/2018

The Structure of Service Level Agreement of Slice-based 5G Network

Network slicing is considered to be one of the key enablers to Fifth Gen...

Mohammad Asif Habibi, et al. ∙

research

∙ 07/30/2018

Security Solutions for Local Wireless Networks in Control Applications based on Physical Layer Security

The Design of new wireless communication systems for industrial applicat...

Andreas Weinand, et al. ∙

research

∙ 08/25/2018

How do Convolutional Neural Networks Learn Design?

In this paper, we aim to understand the design principles in book cover ...

Shailza Jolly, et al. ∙

research

∙ 09/16/2018

Analysis of Dynamic Memory Bandwidth Regulation in Multi-core Real-Time Systems

One of the primary sources of unpredictability in modern multi-core embe...

Ankit Agrawal, et al. ∙

research

∙ 09/18/2018

Rational Impatience Strategy of 5G Network Tenants in Queue-Based Slice Admission Control: Shall I Wait Further for My Network Slice?

The fifth generation (5G) technologies enable an emerge type of public c...

Bin Han, et al. ∙

research

∙ 09/25/2018

A 5G Architecture for The Factory of the Future

Factory automation and production are currently undergoing massive chang...

Stephan Ludwig, et al. ∙

research

∙ 09/18/2018

Rational Impatience Admission Control in 5G-sliced Networks: Shall I Bide my Slice Opportunity?

Recently, the specifications of the fifth generation (5G) of mobile netw...

Bin Han, et al. ∙

research

∙ 11/17/2018

Advanced Memory Buoyancy for Forgetful Information Systems

Knowledge workers face an ever increasing flood of information in their ...

Christian Jilek, et al. ∙

Technische Universität Kaiserslautern

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