Multi-level Monte Carlo methods in chemical applications with Lennard-Jones potentials and other landscapes with isolated singularities Journal April, 2025
Low responsiveness of machine learning models to critical or deteriorating health conditions... Journal March, 2025
Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN Journal March, 2025
Privacy-Preserving Federated Learning for Science: Challenges and Research Directions Conference Paper December, 2024
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations Conference Paper November, 2024
MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training Conference Paper November, 2024
Privacy by Design in Distributed Edge Systems: Innovating Secure Workflows for Smart Cities Journal October, 2024
