activity
20192024
most citedAcoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning

59 citations · 111 across the 16 of their papers we have counts for

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Showing cs.LGShow all

7 papers · 1 filter

cs.LG2023

Compression of GPS Trajectories using Autoencoders

Michael Kölle, Steffen Illium, Carsten Hahn +3

The ubiquitous availability of mobile devices capable of location tracking led to a significant rise in the collection of GPS data. Several compression methods have been developed…

cs.LG2022★ 1 cited

Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks

Steffen Illium, Thore Schillman, Robert Müller +2

Common to all different kinds of recurrent neural networks (RNNs) is the intention to model relations between data points through time. When there is no immediate relationship betw…

cs.LG2022

Case-Based Inverse Reinforcement Learning Using Temporal Coherence

Jonas Nüßlein, Steffen Illium, Robert Müller +2

Providing expert trajectories in the context of Imitation Learning is often expensive and time-consuming. The goal must therefore be to create algorithms which require as little ex…

cs.LG2021★ 18 cited

Acoustic Leak Detection in Water Networks

Robert Müller, Steffen Illium, Fabian Ritz +4

In this work, we present a general procedure for acoustic leak detection in water networks that satisfies multiple real-world constraints such as energy efficiency and ease of depl…

cs.LG2020

Policy Entropy for Out-of-Distribution Classification

Andreas Sedlmeier, Robert Müller, Steffen Illium +1

One critical prerequisite for the deployment of reinforcement learning systems in the real world is the ability to reliably detect situations on which the agent was not trained. Su…

cs.LG2020

Trajectory annotation using sequences of spatial perception

Sebastian Feld, Steffen Illium, Andreas Sedlmeier +1

In the near future, more and more machines will perform tasks in the vicinity of human spaces or support them directly in their spatially bound activities. In order to simplify the…

cs.LG2019★ 1 cited

Soccer Team Vectors

Robert Müller, Stefan Langer, Fabian Ritz +3

In this work we present STEVE - Soccer TEam VEctors, a principled approach for learning real valued vectors for soccer teams where similar teams are close to each other in the resu…