Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning R Schoonhoven, B Veenboer, B Van Werkhoven, KJ Batenburg 2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking …, 2022 | 14 | 2022 |
Benchmarking optimization algorithms for auto-tuning GPU kernels RA Schoonhoven, B van Werkhoven, KJ Batenburg IEEE Transactions on Evolutionary Computation 27 (3), 550-564, 2022 | 12 | 2022 |
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains R Schoonhoven, AA Hendriksen, DM Pelt, KJ Batenburg arXiv preprint arXiv:2011.06923, 2020 | 4 | 2020 |
Real-time segmentation for tomographic imaging R Schoonhoven, JW Buurlage, DM Pelt, KJ Batenburg 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 3 | 2020 |
A methodology for comparing optimization algorithms for auto-tuning FJ Willemsen, R Schoonhoven, J Filipovič, JO Tørring, R van Nieuwpoort, ... Future Generation Computer Systems 159, 489-504, 2024 | 2 | 2024 |
How auto-differentiation can improve CT workflows: classical algorithms in a modern framework R Schoonhoven, A Skorikov, WJ Palenstijn, DM Pelt, AA Hendriksen, ... Optics Express 32 (6), 9019-9041, 2024 | 1 | 2024 |
Self-supervised image restoration in coherent X-ray neuronal microscopy A Laugros, P Cloetens, C Bosch, R Schoonhoven, L Pavlovic, AT Kuan, ... bioRxiv, 2025.02. 10.633538, 2025 | | 2025 |
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution W Xie, R Schoonhoven, T van Leeuwen, MB Blaschko arXiv preprint arXiv:2409.07171, 2024 | | 2024 |
On the optimization of imaging pipelines RA Schoonhoven Leiden University, 2024 | | 2024 |
Improving cryo-ET reconstructions of ER-associated ribosomes with tomographic reconstruction methods and deep learning RA Schoonhoven | | 2019 |
The McKay correspondence and resolving the Kleinian singularities RA Schoonhoven | | 2016 |