| Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence S Raschka, J Patterson, C Nolet Information 11 (4), 193, 2020 | 510 | 2020 |
| Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning J So, C He, CS Yang, S Li, Q Yu, R E Ali, B Guler, S Avestimehr Proceedings of Machine Learning and Systems 4, 694-720, 2022 | 94 | 2022 |
| Bringing UMAP closer to the speed of light with GPU acceleration CJ Nolet, V Lafargue, E Raff, T Nanditale, T Oates, J Zedlewski, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 418-426, 2021 | 29 | 2021 |
| Accelerating single-cell genomic analysis with GPUs C Nolet, A Lal, R Ilango, T Dyer, R Movva, J Zedlewski, J Israeli bioRxiv, 2022.05. 26.493607, 2022 | 9 | 2022 |
| Cagra: Highly parallel graph construction and approximate nearest neighbor search for gpus H Ootomo, A Naruse, C Nolet, R Wang, T Feher, Y Wang arXiv preprint arXiv:2308.15136, 2023 | 5 | 2023 |
| cuSLINK: Single-linkage Agglomerative Clustering on the GPU CJ Nolet, D Gala, A Fender, M Doijade, J Eaton, E Raff, J Zedlewski, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2 | 2023 |
| GPU semiring primitives for sparse neighborhood methods CJ Nolet, D Gala, E Raff, J Eaton, B Rees, J Zedlewski, T Oates Proceedings of Machine Learning and Systems 4, 95-109, 2022 | 2 | 2022 |
| Semiring primitives for sparse neighborhood methods on the gpu CJ Nolet, D Gala, E Raff, J Eaton, B Rees, J Zedlewski, T Oates UMBC Student Collection, 2021 | 2 | 2021 |
| Generating Permutations Using Hash Tables O Green, C Nolet, J Eaton 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2022 | | 2022 |
Josh PattersonVoltron DataDirección de correo verificada de voltrondata.com
