Stephan Günnemann

Predicting cellular responses to complex perturbations in high‐throughput screens

Fabian J Theis, Beth K. Martin, J. Shendure, 2023, Molecular systems biology.

Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly

Jianxiang Feng, M. Durner, Rudolph Triebel, 2023, ArXiv.

The power of motifs as inductive bias for learning molecular distributions

F. Theis, Johanna Sommer, David Lüdke, 2023, ArXiv.

Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models

Felippe Schmoeller Roza, Karsten Roscher, Tom Haider, 2023, AAMAS.

Enabling Machine Learning in Software Architecture Frameworks

A. Badii, Moharram Challenger, Armin Moin, 2023, 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN).

Using Deep Learning for Flexible and Scalable Earthquake Forecasting

Oleksandr Shchur, E. Brodsky, K. Dascher‐Cousineau, 2023, Geophysical Research Letters.