
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
We propose a novel method for analyzing and visualizing the complexity o...
read it

Unsupervised classification of simulated magnetospheric regions
In magnetospheric missions, burst mode data sampling should be triggered...
read it

Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks
Extended Predictable Feature Analysis (PFAx) [Richthofer and Wiskott, 20...
read it

PFAx: Predictable Feature Analysis to Perform Control
Predictable Feature Analysis (PFA) (Richthofer, Wiskott, ICMLA 2015) is ...
read it

Global Convergence of the (1+1) Evolution Strategy
We establish global convergence of the (1+1)ES algorithm, i.e., converg...
read it

LimitedMemory Matrix Adaptation for Large Scale Blackbox Optimization
The Covariance Matrix Adaptation Evolution Strategy (CMAES) is a popula...
read it

Anytime BiObjective Optimization with a Hybrid MultiObjective CMAES (HMOCMAES)
We propose a multiobjective optimization algorithm aimed at achieving g...
read it

Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and NonStationary Environments
A compact informationrich representation of the environment, also calle...
read it

Limits of EndtoEnd Learning
Endtoend learning refers to training a possibly complex learning syste...
read it

Gaussianbinary Restricted Boltzmann Machines on Modeling Natural Image Statistics
We present a theoretical analysis of Gaussianbinary restricted Boltzman...
read it

Modeling correlations in spontaneous activity of visual cortex with centered Gaussianbinary deep Boltzmann machines
Spontaneous cortical activity  the ongoing cortical activities in abse...
read it

Theoretical Analysis of the Optimal Free Responses of GraphBased SFA for the Design of Training Graphs
Slow feature analysis (SFA) is an unsupervised learning algorithm that e...
read it

Improved graphbased SFA: Information preservation complements the slowness principle
Slow feature analysis (SFA) is an unsupervisedlearning algorithm that e...
read it

Predictable Feature Analysis
Every organism in an environment, whether biological, robotic or virtual...
read it

Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies
Support vector machine (SVM) training is an active research area since t...
read it

On the Containment Problem for Linear Sets
It is well known that the containment problem (as well as the equivalenc...
read it

A note on Herglotz's theorem for time series on function spaces
In this article, we prove Herglotz's theorem for Hilbertvalued time ser...
read it

A Scalable Approach for Hardware Semiformal Verification
The current verification flow of complex systems uses different engines ...
read it

Incorporating Literals into Knowledge Graph Embeddings
Knowledge graphs, on top of entities and their relationships, contain an...
read it

Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)ES with 1/5 Success Rule
This paper explores the use of the standard approach for proving runtime...
read it

Delivery Time Minimization in CacheAssisted BroadcastRelay Wireless Networks with Imperfect CSI
An emerging trend of next generation communication systems is to provide...
read it

Towards Lightweight Error Detection Schemes for Implementations of MixColumns in Lightweight Cryptography
In this paper, through considering lightweight cryptography, we present ...
read it

Challenges in Highdimensional Reinforcement Learning with Evolution Strategies
Evolution Strategies (ESs) have recently become popular for training dee...
read it

Distance covariance for discretized stochastic processes
Given an iid sequence of pairs of stochastic processes on the unit inter...
read it

Dual SVM Training on a Budget
We present a dual subspace ascent algorithm for support vector machine t...
read it

Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search
Limiting the model size of a kernel support vector machine to a predefi...
read it

MultiMerge Budget Maintenance for Stochastic Gradient Descent SVM Training
Budgeted Stochastic Gradient Descent (BSGD) is a stateoftheart techni...
read it

Fundamental Limits of Dynamic Interference Management with Flexible Message Assignments
The problem of interference management is considered in the context of a...
read it

Detecting deviations from secondorder stationarity in locally stationary functional time series
A timedomain test for the assumption of second order stationarity of a ...
read it

Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding
Voice interfaces are becoming accepted widely as input methods for a div...
read it

Robust Signaling for Bursty Interference
This paper studies a bursty interference channel, where the presence/abs...
read it

Improving Response Selection in Multiturn Dialogue Systems
Building systems that can communicate with humans is a core problem in A...
read it

Relevance in Structured Argumentation
We study properties related to relevance in nonmonotonic consequence re...
read it

Challenges of Convex Quadratic Biobjective Benchmark Problems
Convex quadratic objective functions are an important base case in state...
read it

BaseStations Up in the Air: MultiUAV Trajectory Control for MinRate Maximization in Uplink CRAN
In this paper we study the impact of unmanned aerial vehicles (UAVs) tra...
read it

Binaural Source Localization based on ModulationDomain Features and Decision Pooling
In this work we apply Amplitude Modulation Spectrum (AMS) features to th...
read it

Distance Measures for Embedded Graphs
We introduce new distance measures for comparing embedded graphs based o...
read it

Prediction of the 2019 IHF World Men's Handball Championship  An underdispersed sparse count data regression model
In this work, we compare several different modeling approaches for count...
read it

The kFréchet distance
We introduce a new distance measure for comparing polygonal chains: the ...
read it

Optimal CollusionFree Teaching
Formal models of learning from teachers need to respect certain criteria...
read it

Vehicle Shape and Color Classification Using Convolutional Neural Network
This paper presents a module of vehicle reidentification based on make/m...
read it

Ordinal Patterns in LongRange Dependent Time Series
We analyze the ordinal structure of longrange dependent time series. To...
read it

A note on quadratic forms of stationary functional time series under mild conditions
We study the distributional properties of a quadratic form of a stationa...
read it

Optimal designs for estimating individual coefficients in polynomial regression with no intercept
In a seminal paper studden1968 characterized coptimal designs in regres...
read it

Towards Automated ApplicationSpecific Software Stacks
Software complexity has increased over the years. One common way to tack...
read it

Aggregated False Discovery Rate Control
We propose an aggregation scheme for methods that control the false disc...
read it

On the lack of interior regularity of the pPoisson problem with p>2
In this note we are concerned with interior regularity properties of the...
read it

Robust OvertheAir Adversarial Examples Against Automatic Speech Recognition Systems
Automatic speech recognition (ASR) systems are possible to fool via targ...
read it

(Un)informed Consent: Studying GDPR Consent Notices in the Field
Since the adoption of the General Data Protection Regulation (GDPR) in M...
read it

Supervised Learning Based Super Resolution DOA Estimation Utilizing Antenna Array Subsets
In this paper, we introduce a novel algorithm that can dramatically redu...
read it
Ruhr University Bochum
The RuhrUniversity Bochum, located on the southern hills of central Ruhr area in Bochum, was founded in 1962 as the first new public university in Germany after World War II.