3 papers
cs.LG2026
Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization
Aadyot Bhatnagar, Peter Mørch Groth, Ali Madani
Large language models can be aligned with human preferences through offline reinforcement learning (RL) on small labeled datasets. While single-objective alignment is well-studied,…
q-bio.QM2025
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
Ruben Weitzman, Peter Mørch Groth, Lood Van Niekerk +4
Retrieving homologous protein sequences is essential for a broad range of protein modeling tasks such as fitness prediction, protein design, structure modeling, and protein-protein…
q-bio.BM2024
Kermut: Composite kernel regression for protein variant effects
Peter Mørch Groth, Mads Herbert Kerrn, Lars Olsen +2
Reliable prediction of protein variant effects is crucial for both protein optimization and for advancing biological understanding. For practical use in protein engineering, it is…