1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Bayesian Active Learning By Distribution Disagreement
Thorben Werner, Lars Schmidt-Thieme
Active Learning (AL) for regression has been systematically under-researched due to the increased difficulty of measuring uncertainty in regression models. Since normalizing flows…
cs.LG2022★ 1 cited
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development
Nghia Duong-Trung, Stefan Born, Jong Woo Kim +9
Machine learning (ML) is becoming increasingly crucial in many fields of engineering but has not yet played out its full potential in bioprocess engineering. While experimentation…
cs.LG2021
Reinforcement Learning Approach to Active Learning for Image Classification
Thorben Werner
Machine Learning requires large amounts of labeled data to fit a model. Many datasets are already publicly available, nevertheless forcing application possibilities of machine lear…