Justus Arweiler

According to our database, Justus Arweiler authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection.

Jennifer Werner, Justus Arweiler, Indra Jungjohann, Jochen Schmid, Fabian Jirasek, Hans Hasse, Michael Bortz

CoRR, April, 2026

CHAOS - A Large-scale Database for σ-Profiles and Other Molecular Descriptors.

Dominik Gond, Justus Arweiler, Thomas Specht, Hans Hasse, Fabian Jirasek

J. Chem. Inf. Model., 2026

2025

Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods.

Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan, Heike Leitte, Jakob Burger, Kerstin Münnemann, Fabian Jirasek, Hans Hasse

CoRR, October, 2025

Formally Exploring Time-Series Anomaly Detection Evaluation Metrics.

Dennis Wagner, Arjun Nair, Billy Joe Franks, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Fabian Hartung, Mayank C. Ahuja, Andriy Balinskyy, Saurabh Varshneya, Nabeel Hussain Syed, Mayank Nagda, Philipp Liznerski, Steffen Reithermann, Maja Rudolph, Sebastian J. Vollmer, Ralf Schulz, Torsten Katz, Stephan Mandt, Michael Bortz, Heike Leitte, Daniel Neider, Jakob Burger, Fabian Jirasek, Hans Hasse, Sophie Fellenz, Marius Kloft

CoRR, October, 2025

DiffStyleTS: Diffusion Model for Style Transfer in Time Series.

Mayank Nagda, Phil Ostheimer, Justus Arweiler, Indra Jungjohann, Jennifer Werner, Dennis Wagner, Aparna Muraleedharan, Pouya Jafari, Jochen Schmid, Fabian Jirasek, Jakob Burger, Michael Bortz, Hans Hasse, Stephan Mandt, Marius Kloft, Sophie Fellenz

CoRR, October, 2025

Style Transfer for High-Fidelity Time Series Augmentation.

Mayank Nagda, Phil Ostheimer, Justus Arweiler, Indra Jungjohann, Jennifer Werner, Dennis Wagner, Aparna Muraleedharan, Pouya Jafari, Jochen Schmid, Fabian Jirasek, Jakob Burger, Michael Bortz, Hans Hasse, Stephan Mandt, Marius Kloft, Sophie Fellenz

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection.

Dennis Wagner, Fabian Hartung, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Arjun Nair, Steffen Reithermann, Ralf Schulz, Michael Bortz, Daniel Neider, Heike Leitte, Joachim Pfeffinger, Stephan Mandt, Sophie Fellenz, Torsten Katz, Fabian Jirasek, Jakob Burger, Hans Hasse, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

A Benchmark Suite for Verifying Neural Anomaly Detectors in Distillation Processes.

Simon Lutz, Justus Arweiler, Aparna Muraleedharan, Niklas Kahlhoff, Fabian Hartung, Indra Jungjohann, Mayank Nagda, Daniel Reinhardt, Dennis Wagner, Jennifer Werner, Justus C. Will, Jakob Burger, Michael Bortz, Hans Hasse, Sophie Fellenz, Fabian Jirasek, Marius Kloft, Heike Leitte, Stephan Mandt, Steffen Reithermann, Jochen Schmid, Daniel Neider

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024