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
SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks Conference Paper December, 2024
Estimating Critical Customer Outages Resulting from Extreme Hurricanes Conference Paper December, 2024
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway Conference Paper December, 2024
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations Conference Paper November, 2024
