9 citations · 29 across the 14 of their papers we have counts for
17 papers
Entropic Matching for Expectation Propagation of Markov Jump Processes
Yannick Eich, Bastian Alt, Heinz Koeppl
We propose a novel, tractable latent state inference scheme for Markov jump processes, for which exact inference is often intractable. Our approach is based on an entropic matching…
Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations
Benjamin Alt, Franklin Kenghagho Kenfack, Andrei Haidu +3
Aging societies, labor shortages and increasing wage costs call for assistance robots capable of autonomously performing a wide array of real-world tasks. Such open-ended robotic m…
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks
Derya Altıntan, Bastian Alt, Heinz Koeppl
Biochemical reaction networks are an amalgamation of reactions where each reaction represents the interaction of different species. Generally, these networks exhibit a multi-scale…
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments
Benjamin Alt, Darko Katic, Rainer Jäkel +1
In both industrial and service domains, a central benefit of the use of robots is their ability to quickly and reliably execute repetitive tasks. However, even relatively simple pe…
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes
Benjamin Alt, Christian Kunz, Darko Katic +5
The semantic segmentation of surgical scenes is a prerequisite for task automation in robot assisted interventions. We propose LapSeg3D, a novel DNN-based approach for the voxel-wi…
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Lukas Köhs, Bastian Alt, Heinz Koeppl
Switching dynamical systems are an expressive model class for the analysis of time-series data. As in many fields within the natural and engineering sciences, the systems under stu…
Optimal Decision Making in Active Queue Management
Sounak Kar, Bastian Alt, Heinz Koeppl +1
Active Queue Management (AQM) aims to prevent bufferbloat and serial drops in router and switch FIFO packet buffers that usually employ drop-tail queueing. AQM describes methods to…
Variational Inference for Continuous-Time Switching Dynamical Systems
Lukas Köhs, Bastian Alt, Heinz Koeppl
Switching dynamical systems provide a powerful, interpretable modeling framework for inference in time-series data in, e.g., the natural sciences or engineering applications. Since…
Load Balancing in Compute Clusters with Delayed Feedback
Anam Tahir, Bastian Alt, Amr Rizk +1
Load balancing arises as a fundamental problem, underlying the dimensioning and operation of many computing and communication systems, such as job routing in data center clusters,…
Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation
Sven Dittus, Benjamin Alt, Andreas Hermann +3
This paper introduces an efficient procedure to localize user-defined points on the surface of deformable objects and track their positions in 3D space over time. To cope with a de…
Robot Program Parameter Inference via Differentiable Shadow Program Inversion
Benjamin Alt, Darko Katic, Rainer Jäkel +2
Challenging manipulation tasks can be solved effectively by combining individual robot skills, which must be parameterized for the concrete physical environment and task at hand. T…
POMDPs in Continuous Time and Discrete Spaces
Bastian Alt, Matthias Schultheis, Heinz Koeppl
Many processes, such as discrete event systems in engineering or population dynamics in biology, evolve in discrete space and continuous time. We consider the problem of optimal de…
On the Throughput Optimization in Large-Scale Batch-Processing Systems
Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay +5
We analyze a data-processing system with clients producing jobs which are processed in \textit{batches} by parallel servers; the system throughput critically depends on the…
Correlation Priors for Reinforcement Learning
Bastian Alt, Adrian Šošić, Heinz Koeppl
Many decision-making problems naturally exhibit pronounced structures inherited from the characteristics of the underlying environment. In a Markov decision process model, for exam…
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version)
Bastian Alt, Trevor Ballard, Ralf Steinmetz +2
Recent advances in quality adaptation algorithms leave adaptive bitrate (ABR) streaming architectures at a crossroads: When determining the sustainable video quality one may either…
Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies
Wasiur R. KhudaBukhsh, Bastian Alt, Sounak Kar +2
Collaborative uploading describes a type of crowdsourcing scenario in networked environments where a device utilizes multiple paths over neighboring devices to upload content to a…
A New Sparse and Robust Adaptive Lasso Estimator for the Independent Contamination Model
Jasin Machkour, Michael Muma, Bastian Alt +1
Many problems in signal processing require finding sparse solutions to under-determined, or ill-conditioned, linear systems of equations. When dealing with real-world data, the pre…