Thomas Hartenstein and Daniel Maier and Biagio Cosenza and Ben Juurlink (2019,). Memory-aware Weight Pruning for Deep Neural Networks. [5]. PARS-Mitteilungen, (to appear)

Daniel Maier and Biagio Cosenza and Ben Juurlink (2021). ALONA: Automatic Loop Nest Approximation with Reconstruction and Space Pruning [6]. Euro-Par 2021: Parallel Processing. Springer International Publishing, 3–18.

Mohammad Loni and Ali Zoljodi and Daniel Maier and Amin Majd and Masoud Daneshtalab and Mikael Sjödin and Ben Juurlink and Reza Akbari (2020). DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture [7]. IEEE World Congress On Computational Intelligence (WCCI) 2020

Daniel Maier, Nadjib Mammeri, Biagio Cosenza, Ben Juurlink (2019). Approximating Memory-bound Applications on Mobile GPUs [8]. 2019 International Conference on High Performance Computing & Simulation (HPCS)

Daniel Maier and Biagio Cosenza and Ben Juurlink (2018). Local Memory-Aware Kernel Perforation [9]. Proceedings of the 2018 International Symposium on Code Generation and Optimization. ACM.

Daniel Maier and Steffen Moser and Frank Slomka (2015). Deterministic Models of the Physical Layer Through Signal Simulation [11]. Proceedings of the 8th International Conference on Simulation Tools and Techniques. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 175–182.

Daniel Maier (2014). Konzeption und Entwurf einer Protokoll-/Signal-Co-Simulation für Ad-Hoc-Netzwerke [13]. Universität Ulm