Author

Stephan Günnemann

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Open access Sep 2026

Designing antimicrobials with programmable mechanism and safety

Antimicrobial peptides (AMPs) are a promising solution to antimicrobial resistance, yet generative models for their design cannot control the physicochemical properties and motifs that shape activity and selectivity. Here, we present OmegAMP, a conditional diffusion framework controlling net charge, mean hydrophobicity...

Paulina Szymczak, Marcelo Der Torossian Torres, Diogo Soares et al. · bioRxiv · 0 citations

Open access Aug 2026

Imagining Trajectories for Anomaly Detection in Reinforcement Learning from Images

Detecting anomalous inputs is a critical prerequisite for the safe deployment of reinforcement learning (RL) agents in real-world environments. Although anomaly detection (AD) has been extensively studied in other domains, its application to reinforcement learning remains challenging due to high-dimensional sensory obs...

Tom Haider, Karsten Roscher, Stephan Günnemann · Machine-mediated learning · 0 citations