High Accuracy Uncertainty-Aware Interatomic Force Modeling with Equivariant Bayesian Neural Networks. - Tim Rensmeyer; Benjamin Craig; Denis Kramer; Oliver Niggemann (CoRR, 2023)

Position Paper on Materials Design - A Modern Approach. - Willi Großmann; Sebastian Eilermann; Tim Rensmeyer; Artur Liebert; Michael Hohmann; Christian Wittke; Oliver Niggemann (CoRR, 2023)

On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors. - Tim Rensmeyer; Oliver Niggemann (AISTATS, 2025)

On-the-Fly Fine-Tuning of Foundational Neural Network Potentials: A Bayesian Neural Network Approach. - Tim Rensmeyer; Denis Kramer; Oliver Niggemann (CoRR, 2025)