Thorben Werner

According to our database, Thorben Werner authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Bayesian Active Learning By Distribution Disagreement.

Thorben Werner, Lars Schmidt-Thieme

CoRR, January, 2025

2024

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training.

Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme

CoRR, 2024

A Cross-Domain Benchmark for Active Learning.

Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Towards Comparable Knowledge Distillation in Semantic Image Segmentation.

Onno Niemann, Christopher Vox, Thorben Werner

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022

When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.

Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer

CoRR, 2022

Open Set Recognition for Time Series Classification.

Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Reinforcement Learning Approach to Active Learning for Image Classification.

Thorben Werner

CoRR, 2021