| 2024 | ICML | Learning from Integral Losses in Physics Informed Neural Networks. | Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West |
| 2023 | ICML | MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. | Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West |
| 2019 | SC | FaultSight: A Fault Analysis Tool for HPC Researchers. | Einar Horn, Dakota Fulp, Jon Calhoun, Luke N. Olson |
| 2017 | HPDC | Towards a More Complete Understanding of SDC Propagation. | Jon Calhoun, Marc Snir, Luke N. Olson, William D. Gropp |
| 2016 | CGO | IPAS: intelligent protection against silent output corruption in scientific applications. | Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun, Luke N. Olson |
| 2015 | CLUSTER | Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply. | Jon Calhoun, Marc Snir, Luke N. Olson, Mara Jess Garzarn |
| 2014 | EuroPar | FlipIt: An LLVM Based Fault Injector for HPC. | Jon Calhoun, Luke N. Olson, Marc Snir |