Randal Burns
Johns Hopkins University
H-index: 49
North America-United States
Top articles of Randal Burns
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
CPMA: An efficient batch-parallel compressed set without pointers | Brian Wheatman Randal Burns Aydin Buluc Helen Xu | 2024/3/2 | |
Masked Matrix Multiplication for Emergent Sparsity | arXiv preprint arXiv:2402.14118 | Brian Wheatman Meghana Madhyastha Randal Burns | 2024/2/21 |
Edge-Parallel Graph Encoder Embedding | arXiv preprint arXiv:2402.04403 | Ariel Lubonja Cencheng Shen Carey Priebe Randal Burns | 2024/2/6 |
Prospective Learning: Principled Extrapolation to the Future | Ashwin De Silva Rahul Ramesh Lyle Ungar Marshall Hussain Shuler Noah J Cowan | 2023/11/20 | |
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search | arXiv preprint arXiv:2309.12576 | Robert Underwood Meghana Madhastha Randal Burns Bogdan Nicolae | 2023/9/22 |
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access | Meghana Madhyastha Robert Underwood Randal Burns Bogdan Nicolae | 2023/6/21 | |
Optimizing Search Layouts in Packed Memory Arrays | Brian Wheatman Randal Burns Aydın Buluç Helen Xu | 2023 | |
Prospective learning: Back to the future | arXiv e-prints | Joshua T Vogelstein Timothy Verstynen Konrad P Kording Leyla Isik John W Krakauer | 2022/1 |
Towards Optimal Line of Sight Coverage | Peter Gu Tamás Budavári Amanda Galante Randal Burns | 2022/10/11 | |
Understanding and dealing with hard faults in persistent memory systems | Brian Choi Randal Burns Peng Huang | 2021/4/21 | |
Streaming sparse graphs using efficient dynamic sets | Brian Wheatman Randal Burns | 2021/12/15 | |
A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis | bioRxiv | Ross Lawrence Alex Loftus Gregory Kiar Eric W Bridgeford William Gray Roncal | 2021/11/3 |
BLOCKSET (block-aligned serialized trees) reducing inference latency for tree ensemble deployment | Meghana Madhyastha Kunal Lillaney James Browne Joshua T Vogelstein Randal Burns | 2021/8/14 | |
Supervised dimensionality reduction for big data | Nature communications | Joshua T Vogelstein Eric W Bridgeford Minh Tang Da Zheng Christopher Douville | 2021/5/17 |
Sparse projection oblique randomer forests | Journal of machine learning research | Tyler M Tomita James Browne Cencheng Shen Jaewon Chung Jesse L Patsolic | 2020 |
Geodesic forests | Meghana Madhyastha Gongkai Li Veronika Strnadová-Neeley James Browne Joshua T Vogelstein | 2020/8/23 | |
Toward community-driven big open brain science: open big data and tools for structure, function, and genetics | Adam S Charles Benjamin Falk Nicholas Turner Talmo D Pereira Daniel Tward | 2020/7/8 | |
Creating an Active Learning Environment using Reproducible Data Science Tools | eLearn | Randal Burns | 2020/6/30 |
Observations on porting in-memory kv stores to persistent memory | arXiv preprint arXiv:2002.02017 | Brian Choi Parv Saxena Ryan Huang Randal Burns | 2020/2/5 |
Co-Authors
