| 2023 | ICANN | Higher Education Programming Competencies: A Novel Dataset. | Natalie Kiesler, Benedikt Pflb |
| 2021 | IJCNN | Image Modeling with Deep Convolutional Gaussian Mixture Models. | Alexander Gepperth, Benedikt Pflb |
| 2021 | IJCNN | Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. | Benedikt Pflb, Alexander Gepperth |
| 2020 | ICANN | A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. | Alexander Gepperth, Benedikt Pflb |
| 2019 | CNSM | Flow-based Throughput Prediction using Deep Learning and Real-World Network Traffic. | Christoph Hardegen, Benedikt Pflb, Sebastian Rieger, Alexander Gepperth, Sven Reimann |
| 2019 | ICANN | A Study of Deep Learning for Network Traffic Data Forecasting. | Benedikt Pflb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger |
| 2019 | ICLR | A comprehensive, application-oriented study of catastrophic forgetting in DNNs. | Benedikt Pflb, Alexander Gepperth |
| 2018 | ICANN | Catastrophic Forgetting: Still a Problem for DNNs. | Benedikt Pflb, Alexander Gepperth, Saad Abdullah, Andr Kilian |