Peachy Parallel Assignments (EduHPC 2023). - H. Martin Bücker; Jeremiah Corrado; Daniel Fedorin; Diego García-Álvarez; Arturo González-Escribano; John Li; Maria Pantoja; Erik Pautsch; Marieke Plesske; Marcelo Ponce; Silvio Rizzi 001; Erik Saule; et al. (SC Workshops, 2023)

Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. - Erik Pautsch; John Li; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (SC Workshops, 2023)

Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models. - Clara J. Almeida; David Guerrero-Pantoja; Erik Pautsch; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (SC Workshops, 2024)

Accelerating uncertainty methods for distributed deep learning on novel architectures. - David Guerrero-Pantoja; Erik Pautsch; Clara J. Almeida; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (J. Supercomput., 2025)