| 2024 | ICML | CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations. | Jules Berman, Benjamin Peherstorfer |
| 2023 | ICML | Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry. | Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk |
| 2015 | ICCS | Detecting and Adapting to Parameter Changes for Reduced Models of Dynamic Data-driven Application Systems. | Benjamin Peherstorfer, Karen Willcox |
| 2014 | SDM | Density Estimation with Adaptive Sparse Grids for Large Data Sets. | Benjamin Peherstorfer, Dirk Pflger, Hans-Joachim Bungartz |
| 2013 | ICCS | Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods. | Bastian Bohn, Jochen Garcke, Rodrigo Iza-Teran, Alexander Paprotny, Benjamin Peherstorfer, Ulf Schepsmeier, Clemens-August Thole |
| 2012 | ICMLA | Fast Insight into High-Dimensional Parametrized Simulation Data. | Daniel Butnaru, Benjamin Peherstorfer, Hans-Joachim Bungartz, Dirk Pflger |
| 2012 | KI | Clustering Based on Density Estimation with Sparse Grids. | Benjamin Peherstorfer, Dirk Pflger, Hans-Joachim Bungartz |