Technische Universität Darmstadt

∙ Darmstadt , Germany ∙ 0 followers

The Technische Universität Darmstadt, commonly referred to as TU Darmstadt, is a research university in the city of Darmstadt, Germany.

Variational Clustering: Leveraging Variational Autoencoders for Image Clustering

Recent advances in deep learning have shown their ability to learn stron...
05/10/2020 ∙ by Vignesh Prasad, et al. ∙ 42 ∙ share

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How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking

We present a novel multi-attentional convolutional architecture to tackl...
04/21/2020 ∙ by Isidoros Marougkas, et al. ∙ 24 ∙ share

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Robust Bayesian Cluster Enumeration

A major challenge in cluster analysis is that the number of data cluster...
11/29/2018 ∙ by Freweyni K. Teklehaymanot, et al. ∙ 14 ∙ share

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Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

The performance of deep network learning strongly depends on the choice ...
07/15/2019 ∙ by Alejandro Molina, et al. ∙ 8 ∙ share

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TD-Regularized Actor-Critic Methods

Actor-critic methods can achieve incredible performance on difficult rei...
12/19/2018 ∙ by Simone Parisi, et al. ∙ 4 ∙ share

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On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics

Recently, several authors have advocated the use of rule learning algori...
08/08/2019 ∙ by Michael Rapp, et al. ∙ 4 ∙ share

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CryptoSPN: Privacy-preserving Sum-Product Network Inference

AI algorithms, and machine learning (ML) techniques in particular, are i...
02/03/2020 ∙ by Amos Treiber, et al. ∙ 4 ∙ share

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Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction

Assistive robots can potentially improve the quality of life and persona...
07/04/2019 ∙ by Susanne Trick, et al. ∙ 3 ∙ share

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SAMBA: Safe Model-Based Active Reinforcement Learning

In this paper, we propose SAMBA, a novel framework for safe reinforcemen...
06/12/2020 ∙ by Alexander I. Cowen-Rivers, et al. ∙ 3 ∙ share

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Declarative Learning-Based Programming as an Interface to AI Systems

Data-driven approaches are becoming more common as problem-solving techn...
06/18/2019 ∙ by Parisa Kordjamshidi, et al. ∙ 2 ∙ share

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Entropic Regularization of Markov Decision Processes

An optimal feedback controller for a given Markov decision process (MDP)...
07/06/2019 ∙ by Boris Belousov, et al. ∙ 1 ∙ share

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A Parallel Best-Response Algorithm with Exact Line Search for Nonconvex Sparsity-Regularized Rank Minimization

In this paper, we propose a convergent parallel best-response algorithm ...
11/13/2017 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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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...
09/21/2017 ∙ by Maximilian Hüttenrauch, et al. ∙ 0 ∙ share

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A Novel Bayesian Cluster Enumeration Criterion for Unsupervised Learning

The Bayesian Information Criterion (BIC) has been widely used for estima...
10/22/2017 ∙ by Freweyni K. Teklehaymanot, et al. ∙ 0 ∙ share

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Bayesian Nonparametric Unmixing of Hyperspectral Images

Hyperspectral imaging is an important tool in remote sensing, allowing f...
02/26/2017 ∙ by Jürgen Hahn, et al. ∙ 0 ∙ share

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Bayesian Nonparametric Feature and Policy Learning for Decision-Making

Learning from demonstrations has gained increasing interest in the recen...
02/26/2017 ∙ by Jürgen Hahn, et al. ∙ 0 ∙ share

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A Bayesian Approach to Policy Recognition and State Representation Learning

Learning from demonstration (LfD) is the process of building behavioral ...
05/04/2016 ∙ by Adrian Šošić, et al. ∙ 0 ∙ share

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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 ...
05/17/2014 ∙ by Sunny Mitra, et al. ∙ 0 ∙ share

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DOLPHIn - Dictionary Learning for Phase Retrieval

We propose a new algorithm to learn a dictionary for reconstructing and ...
02/06/2016 ∙ by Andreas M. Tillmann, et al. ∙ 0 ∙ share

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Model Validation for Vision Systems via Graphics Simulation

Rapid advances in computation, combined with latest advances in computer...
12/04/2015 ∙ by V S R Veeravasarapu, et al. ∙ 0 ∙ share

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Simulations for Validation of Vision Systems

As the computer vision matures into a systems science and engineering di...
12/03/2015 ∙ by V S R Veeravasarapu, et al. ∙ 0 ∙ share

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Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version

Rich and complex time-series data, such as those generated from engineer...
07/12/2012 ∙ by Marc Peter Deisenroth, et al. ∙ 0 ∙ share

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From Task Classification Towards Similarity Measures for Recommendation in Crowdsourcing Systems

Task selection in micro-task markets can be supported by recommender sys...
07/20/2017 ∙ by Steffen Schnitzer, et al. ∙ 0 ∙ share

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I Trust my Zombies: A Trust-enabled Botnet

Defending against botnets has always been a cat and mouse game. Cyber-se...
12/11/2017 ∙ by Emmanouil Vasilomanolakis, et al. ∙ 0 ∙ share

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Mixin Composition Synthesis based on Intersection Types

We present a method for synthesizing compositions of mixins using type i...
12/19/2017 ∙ by Jan Bessai, et al. ∙ 0 ∙ share

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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...
10/17/2017 ∙ by Andreas Pels, et al. ∙ 0 ∙ share

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Recent Advances of Isogeometric Analysis in Computational Electromagnetics

In this communication the advantages and drawbacks of the isogeometric a...
09/18/2017 ∙ by Zeger Bontinck, et al. ∙ 0 ∙ share

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Cellular Automata Applications in Shortest Path Problem

Cellular Automata (CAs) are computational models that can capture the es...
12/14/2017 ∙ by Michail-Antisthenis I. Tsompanas, et al. ∙ 0 ∙ share

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The Status of Quantum-Based Long-Term Secure Communication over the Internet

Sensitive digital data, such as health information or governmental archi...
11/27/2017 ∙ by Matthias Geihs, et al. ∙ 0 ∙ share

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CrySL: Validating Correct Usage of Cryptographic APIs

Various studies have empirically shown that the majority of Java and And...
10/02/2017 ∙ by Stefan Krüger, et al. ∙ 0 ∙ share

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Gap-planar Graphs

We introduce the family of k-gap-planar graphs for k ≥ 0, i.e., graphs t...
08/25/2017 ∙ by Sang Won Bae, et al. ∙ 0 ∙ share

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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...
09/04/2017 ∙ by Kathrin Ballweg, et al. ∙ 0 ∙ share

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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...
11/13/2017 ∙ by Nikolaos Alexopoulos, et al. ∙ 0 ∙ share

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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...
09/13/2017 ∙ by Marcilio O. O. Lemos, et al. ∙ 0 ∙ share

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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...
05/23/2017 ∙ by Armin Galetzka, et al. ∙ 0 ∙ share

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ParaExp using Leapfrog as Integrator for High-Frequency Electromagnetic Simulations

Recently, ParaExp was proposed for the time integration of linear hyperb...
05/22/2017 ∙ by Melina Merkel, et al. ∙ 0 ∙ share

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Model Order Reduction for Rotating Electrical Machines

The simulation of electric rotating machines is both computationally exp...
05/10/2017 ∙ by Zeger Bontinck, et al. ∙ 0 ∙ share

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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...
01/15/2018 ∙ by Zeger Bontinck, et al. ∙ 0 ∙ share

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M-STAR: A Modular, Evidence-based Software Trustworthiness Framework

Despite years of intensive research in the field of software vulnerabili...
01/17/2018 ∙ by Nikolaos Alexopoulos, et al. ∙ 0 ∙ share

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Lifted Filtering via Exchangeable Decomposition

We present a model for recursive Bayesian filtering based on lifted mult...
01/31/2018 ∙ by Stefan Lüdtke, et al. ∙ 0 ∙ share

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Robust Sequential Detection in Distributed Sensor Networks

We consider the problem of sequential binary hypothesis testing with a d...
02/01/2018 ∙ by Mark R. Leonard, et al. ∙ 0 ∙ share

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Planning Nonlinear Access Paths for Temporal Bone Surgery

Purpose: Interventions at the otobasis operate in the narrow region of t...
02/21/2018 ∙ by Johannes Fauser, et al. ∙ 0 ∙ share

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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...
02/22/2018 ∙ by Daniel Tanneberg, et al. ∙ 0 ∙ share

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Analyzing Business Process Anomalies Using Autoencoders

Businesses are naturally interested in detecting anomalies in their inte...
03/03/2018 ∙ by Timo Nolle, et al. ∙ 0 ∙ share

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Neural Conditional Gradients

The move from hand-designed to learned optimizers in machine learning ha...
03/12/2018 ∙ by Patrick Schramowski, et al. ∙ 0 ∙ share

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Proximity Verification Based on Acoustic Room Impulse Response

Device proximity verification has a wide range of security applications ...
03/20/2018 ∙ by Hien Thi Thu Truong, et al. ∙ 0 ∙ share

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DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices

IoT devices are being widely deployed. Many of them are vulnerable due t...
04/20/2018 ∙ by Thien Duc Nguyen, et al. ∙ 0 ∙ share

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Concurrent games and semi-random determinacy

Consider concurrent, infinite duration, two-player win/lose games played...
04/29/2018 ∙ by Stephane Le Roux, et al. ∙ 0 ∙ share

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A Systematic Approach to Constructing Incremental Topology Control Algorithms Using Graph Transformation

Communication networks form the backbone of our society. Topology contro...
05/09/2018 ∙ by Roland Kluge, et al. ∙ 0 ∙ share

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DIoT: A Self-learning System for Detecting Compromised IoT Devices

IoT devices are being widely deployed. Many of them are vulnerable due t...
04/20/2018 ∙ by Thien Duc Nguyen, et al. ∙ 0 ∙ share

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Technische Universität Darmstadt

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