Maximilian Toller

According to our database, Maximilian Toller authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Detecting abrupt changes in missing time series data.

Maximilian B. Toller, Bernhard C. Geiger, Roman Kern

Inf. Sci., 2025

2024

Establishing and evaluating trustworthy AI: overview and research challenges.

Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik

Frontiers Big Data, 2024

Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line.

Maximilian Toller, Hussain Hussain, Bernhard C. Geiger

CoRR, 2024

Constraining Anomaly Detection with Anomaly-Free Regions.

Maximilian Toller, Hussain Hussain, Roman Kern, Bernhard C. Geiger

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

2023

Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory.

Maximilian Toller, Bernhard C. Geiger, Roman Kern

IEEE Trans. Knowl. Data Eng., 2023

2020

A Formally Robust Time Series Distance Metric.

Maximilian Toller, Bernhard C. Geiger, Roman Kern

CoRR, 2020

2019

SAZED: parameter-free domain-agnostic season length estimation in time series data.

Maximilian Toller, Tiago Santos, Roman Kern

Data Min. Knowl. Discov., 2019

Robust Parameter-Free Season Length Detection in Time Series.

Maximilian Toller, Roman Kern

CoRR, 2019