| Mlperf mobile inference benchmark: An industry-standard open-source machine learning benchmark for on-device ai V Janapa Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, ... Proceedings of Machine Learning and Systems 4, 352-369, 2022 | 21 | 2022 |
| Ai tax in mobile socs: End-to-end performance analysis of machine learning in smartphones M Buch, Z Azad, A Joshi, VJ Reddi 2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021 | 13 | 2021 |
| MLPerf mobile inference benchmark VJ Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, K Shiring, ... arXiv preprint arXiv:2012.02328, 2020 | 10 | 2020 |
| MLPerf mobile inference benchmark: Why mobile AI benchmarking is hard and what to do about it VJ Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, K Shiring, ... arXiv preprint arXiv:2012.02328, 2020 | 4 | 2020 |
| NichtnegativeMatrixFaktorisierungnutzendesKlangsynthesenSystem (NiMFKS): Extensions of NMF-based concatenative sound synthesis M Buch, E Quinton, BL Sturm Proceedings of the 2017 International Conference on Digital Audio Effects …, 2017 | 3 | 2017 |
