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2020 – today
- 2024
[c6]Hiroyuki Ootomo
, Akira Naruse, Corey Nolet, Ray Wang, Tamas Feher, Yong Wang:
CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs. ICDE 2024: 4236-4247- 2023
- [c5]Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates:
cuSLINK: Single-Linkage Agglomerative Clustering on the GPU. ECML/PKDD (1) 2023: 711-726 - [i5]Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates:
cuSLINK: Single-linkage Agglomerative Clustering on the GPU. CoRR abs/2306.16354 (2023) - [i4]Hiroyuki Ootomo, Akira Naruse, Corey Nolet, Ray Wang, Tamas Feher, Yong Wang:
CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs. CoRR abs/2308.15136 (2023) - 2022
- [c4]Oded Green, Corey Nolet, Joe Eaton:
Generating Permutations Using Hash Tables. HPEC 2022: 1-7 - [c3]Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates:
GPU Semiring Primitives for Sparse Neighborhood Methods. MLSys 2022 - [c2]Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr:
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. MLSys 2022 - 2021
- [c1]Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson:
Bringing UMAP Closer to the Speed of Light with GPU Acceleration. AAAI 2021: 418-426 - [i3]Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates:
Semiring Primitives for Sparse Neighborhood Methods on the GPU. CoRR abs/2104.06357 (2021) - 2020
- [j1]Sebastian Raschka, Joshua Patterson, Corey Nolet:
Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence. Inf. 11(4): 193 (2020) - [i2]Sebastian Raschka, Joshua Patterson, Corey Nolet:
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence. CoRR abs/2002.04803 (2020) - [i1]Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson:
Bringing UMAP Closer to the Speed of Light with GPU Acceleration. CoRR abs/2008.00325 (2020)
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