Richard Krieg

Vipsania: Unsupervised Deep Gene Finding
Krieg, R., Becker, F., Saenko, S., Diehl, J., Stanke, M.
bioRxiv (2026)
10.64898/2026.08.26.747235

Accurate ab initio gene prediction in eukaryotes with Tiberius in multiple clades
Gabriel, L., Brůna, T., …, Krieg, R. et. al
bioRxiv (2026)
10.64898/2026.04.24.720536

FRUITS: feature extraction using iterated sums for time series classification
Joscha Diehl, Richard Krieg
Data Mining and Knowledge Discovery (2024)
10.1007/s10618-024-01068-1

Time series classification of IMU data for point of impact localization
Richard Krieg, Marc Ebner
2022 Sixth IEEE International Conference on Robotic Computing (IRC)
10.1007/s10618-024-01068-1

Vipsania
Unsupervised deep gene finding
PhD Research, bioRxiv preprint
GitHub: github.com/gaius-augustus/vipsania

Bricks2Marble
Pre- and postprocessing for genome annotation
PhD Research
GitHub: github.com/gaius-augustus/bricks2marble

Elissabeth
Linear seq2seq deep learning layer
Master's Thesis
GitHub: github.com/irkri/elissabeth

FRUITS
Feature extraction for time series classification
Bachelor's Thesis
GitHub: github.com/irkri/fruits

12th International Summer School on AI and Big Data: Neuro+Symbolic AI
06 / 2026
Leipzig, Germany

Mathematics of data streams: signatures, neural differential equations, diffusion models
04 / 2024
Greifswald, Germany

Courses on Rough Paths, Signatures, and their applications in Machine Learning
11 / 2023
Oslo, Norway

Sixth IEEE International Conference on Robotic Computing
12 / 2022
Naples, Italy