1 citations · 1 across the 2 of their papers we have counts for
3 papers
A Continuous-Time Consistency Model for 3D Point Cloud Generation
Sebastian Eilermann, René Heesch, Oliver Niggemann
Fast and accurate 3D shape generation from point clouds is essential for applications in robotics, AR/VR, and digital content creation. We introduce ConTiCoM-3D, a continuous-time…
On-the-Fly Fine-Tuning of Foundational Neural Network Potentials: A Bayesian Neural Network Approach
Tim Rensmeyer, Denis Kramer, Oliver Niggemann
Due to the computational complexity of evaluating interatomic forces from first principles, the creation of interatomic machine learning force fields has become a highly active fie…
Evaluating Large Language Models for Real-World Engineering Tasks
Rene Heesch, Sebastian Eilermann, Alexander Windmann +3
Large Language Models (LLMs) are transformative not only for daily activities but also for engineering tasks. However, current evaluations of LLMs in engineering exhibit two critic…