
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering
Recent advances in deep learning have shown their ability to learn stron...
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Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning
Generalpurpose trajectory planning algorithms for automated driving uti...
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How to track your dragon: A MultiAttentional Framework for realtime RGBD 6DOF Object Pose Tracking
We present a novel multiattentional convolutional architecture to tackl...
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Robust Bayesian Cluster Enumeration
A major challenge in cluster analysis is that the number of data cluster...
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Padé Activation Units: Endtoend Learning of Flexible Activation Functions in Deep Networks
The performance of deep network learning strongly depends on the choice ...
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TDRegularized ActorCritic Methods
Actorcritic methods can achieve incredible performance on difficult rei...
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On the Tradeoff Between Consistency and Coverage in Multilabel Rule Learning Heuristics
Recently, several authors have advocated the use of rule learning algori...
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CryptoSPN: Privacypreserving SumProduct Network Inference
AI algorithms, and machine learning (ML) techniques in particular, are i...
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SAMBA: Safe ModelBased Active Reinforcement Learning
In this paper, we propose SAMBA, a novel framework for safe reinforcemen...
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Multimodal Uncertainty Reduction for Intention Recognition in HumanRobot Interaction
Assistive robots can potentially improve the quality of life and persona...
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Declarative LearningBased Programming as an Interface to AI Systems
Datadriven approaches are becoming more common as problemsolving techn...
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MultiSensor NextBestView Planning as MatroidConstrained Submodular Maximization
3D scene models are useful in robotics for tasks such as path planning, ...
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Entropic Regularization of Markov Decision Processes
An optimal feedback controller for a given Markov decision process (MDP)...
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A Parallel BestResponse Algorithm with Exact Line Search for Nonconvex SparsityRegularized Rank Minimization
In this paper, we propose a convergent parallel bestresponse algorithm ...
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Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning
Swarm systems constitute a challenging problem for reinforcement learnin...
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A Novel Bayesian Cluster Enumeration Criterion for Unsupervised Learning
The Bayesian Information Criterion (BIC) has been widely used for estima...
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Bayesian Nonparametric Unmixing of Hyperspectral Images
Hyperspectral imaging is an important tool in remote sensing, allowing f...
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Bayesian Nonparametric Feature and Policy Learning for DecisionMaking
Learning from demonstrations has gained increasing interest in the recen...
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A Bayesian Approach to Policy Recognition and State Representation Learning
Learning from demonstration (LfD) is the process of building behavioral ...
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That's sick dude!: Automatic identification of word sense change across different timescales
In this paper, we propose an unsupervised method to identify noun sense ...
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DOLPHIn  Dictionary Learning for Phase Retrieval
We propose a new algorithm to learn a dictionary for reconstructing and ...
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Model Validation for Vision Systems via Graphics Simulation
Rapid advances in computation, combined with latest advances in computer...
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Simulations for Validation of Vision Systems
As the computer vision matures into a systems science and engineering di...
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Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version
Rich and complex timeseries data, such as those generated from engineer...
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From Task Classification Towards Similarity Measures for Recommendation in Crowdsourcing Systems
Task selection in microtask markets can be supported by recommender sys...
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I Trust my Zombies: A Trustenabled Botnet
Defending against botnets has always been a cat and mouse game. Cyberse...
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Mixin Composition Synthesis based on Intersection Types
We present a method for synthesizing compositions of mixins using type i...
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Solving nonlinear circuits with pulsed excitation by multirate partial differential equations
In this paper the concept of Multirate Partial Differential Equations (M...
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Recent Advances of Isogeometric Analysis in Computational Electromagnetics
In this communication the advantages and drawbacks of the isogeometric a...
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Cellular Automata Applications in Shortest Path Problem
Cellular Automata (CAs) are computational models that can capture the es...
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The Status of QuantumBased LongTerm Secure Communication over the Internet
Sensitive digital data, such as health information or governmental archi...
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CrySL: Validating Correct Usage of Cryptographic APIs
Various studies have empirically shown that the majority of Java and And...
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Gapplanar Graphs
We introduce the family of kgapplanar graphs for k ≥ 0, i.e., graphs t...
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Visual Similarity Perception of Directed Acyclic Graphs: A Study on Influencing Factors
While visual comparison of directed acyclic graphs (DAGs) is commonly en...
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Beyond the Hype: On Using Blockchains in Trust Management for Authentication
Trust Management (TM) systems for authentication are vital to the securi...
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On the Accuracy of Formal Verification of Selective Defenses for TDoS Attacks
Telephony Denial of Service (TDoS) attacks target telephony services, su...
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Multilevel Monte Carlo Simulation of the Eddy Current Problem With Random Parameters
The multilevel Monte Carlo method is applied to an academic example in t...
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ParaExp using Leapfrog as Integrator for HighFrequency Electromagnetic Simulations
Recently, ParaExp was proposed for the time integration of linear hyperb...
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Model Order Reduction for Rotating Electrical Machines
The simulation of electric rotating machines is both computationally exp...
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Uncertainty Quantification For A Permanent Magnet Synchronous Machine With Dynamic Rotor Eccentricity
The influence of dynamic eccentricity on the harmonic spectrum of the to...
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MSTAR: A Modular, Evidencebased Software Trustworthiness Framework
Despite years of intensive research in the field of software vulnerabili...
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Lifted Filtering via Exchangeable Decomposition
We present a model for recursive Bayesian filtering based on lifted mult...
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Robust Sequential Detection in Distributed Sensor Networks
We consider the problem of sequential binary hypothesis testing with a d...
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Planning Nonlinear Access Paths for Temporal Bone Surgery
Purpose: Interventions at the otobasis operate in the narrow region of t...
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Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
Autonomous robots need to interact with unknown, unstructured and changi...
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Analyzing Business Process Anomalies Using Autoencoders
Businesses are naturally interested in detecting anomalies in their inte...
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Neural Conditional Gradients
The move from handdesigned to learned optimizers in machine learning ha...
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Proximity Verification Based on Acoustic Room Impulse Response
Device proximity verification has a wide range of security applications ...
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DÏoT: A Crowdsourced Selflearning Approach for Detecting Compromised IoT Devices
IoT devices are being widely deployed. Many of them are vulnerable due t...
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Concurrent games and semirandom determinacy
Consider concurrent, infinite duration, twoplayer win/lose games played...
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Technische Universität Darmstadt
The Technische Universität Darmstadt, commonly referred to as TU Darmstadt, is a research university in the city of Darmstadt, Germany.