RB
Randal Burns
cs.DCcs.LGcs.CVq-bio.QMcs.CEcs.DBcs.AIcs.PFq-bio.NCstat.ML
On Valency
published · living versionsW_qwe58ep4·v1 · currentpublished
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience
with William Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan +15
1 version
Preprints & journals
60 papers in the corpus · 2007–2026Vectorized Dynamic Histograms for Sparse Oblique Forests2603.00326v2 · Ariel Lubonja, Jungsang Yoon, Haoyin Xu et al.2026 · 0 citationsarXiv
Supervised Dimensionality Reduction for Big Data1709.01233v9 · Joshua T. Vogelstein, Eric Bridgeford, Minh Tang et al.2017 · 81 citationsNature Communications, volume 12, Article number 2872 (2021)
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs1312.4318v1 · Disa Mhembere, William Gray Roncal, Daniel Sussman et al.2013 · 21 citationsarXiv
On Harnessing Idle Compute at the Edge for Foundation Model Training2512.22142v2 · Leyang Xue, Meghana Madhyastha, Myungjin Lee et al.2025 · 0 citationsarXiv
Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges2512.19091v1 · Ariel Lubonja, Pedro R. A. S. Bassi, Wenxuan Li et al.2025 · 1 citationarXiv
Towards Decentralized and Sustainable Foundation Model Training with the Edge2507.01803v1 · Leyang Xue, Meghana Madhyastha, Randal Burns et al.2025 · 1 citationarXiv
Analysis of inertial-range intermittency in forward and inverse cascade regions in isotropic turbulence2504.04595v1 · H. Yao, M. Schnaubelt, A. Lubonja et al.2025 · 0 citationsarXiv
Sparse Projection Oblique Randomer Forests1506.03410v6 · Tyler M. Tomita, James Browne, Cencheng Shen et al.2015 · 8 citationsJournal of Machine Learning Research 21(104), 1-39, 2020
A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis10.1101/2021.11.01.466686v2 · Chung, J., Lawrence, R., Loftus, A. et al.2021 · 3 citationsbioRxiv
Masked Matrix Multiplication for Emergent Sparsity2402.14118v1 · Brian Wheatman, Meghana Madhyastha, Randal Burns2024 · 0 citationsarXiv
CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers2305.05055v3 · Brian Wheatman, Randal Burns, Ayd\in Buluc et al.2023 · 7 citationsarXiv
Edge-Parallel Graph Encoder Embedding2402.04403v1 · Ariel Lubonja, Cencheng Shen, Carey Priebe et al.2024 · 1 citationarXiv
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience.24401992 · Burns, Randal, Roncal, William Gray, Kleissas, Dean et al.2023 · 57 citationsScientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management. 2013
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search2309.12576v1 · Robert Underwood, Meghana Madhastha, Randal Burns et al.2023 · 0 citationsarXiv
Prospective Learning: Principled Extrapolation to the Future2201.07372v2 · Ashwin De Silva, Rahul Ramesh, Lyle Ungar et al.2022 · 6 citationsarXiv
Toward Millions of File System IOPS on Low-Cost, Commodity Hardware.24402052 · Zheng, Da, Burns, Randal, Szalay, Alexander S2021 · 41 citationsICS ... : proceedings of the ... ACM International Conference on Supercomputing. International Conference on Supercomputing. 2013
Toward Community-Driven Big Open Brain Science: Open Big Data and Tools for Structure, Function, and Genetics.32283996 · Charles, Adam S, Falk, Benjamin, Turner, Nicholas et al.2021 · 20 citationsAnnual review of neuroscience. 2020;43:441-464
clusterNOR: A NUMA-Optimized Clustering Framework1902.09527v6 · Disa Mhembere, Da Zheng, Carey E. Priebe et al.2019 · 1 citationarXiv
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment2011.05383v1 · Meghana Madhyastha, Kunal Lillaney, James Browne et al.2020 · 0 citationsarXiv
Observations on Porting In-memory KV stores to Persistent Memory2002.02017v1 · Brian Choi, Parv Saxena, Ryan Huang et al.2020 · 2 citationsarXiv
Towards Marrying Files to Objects1908.11780v1 · Kunal Lillaney, Vasily Tarasov, David Pease et al.2019 · 0 citationsarXiv
Graphyti: A Semi-External Memory Graph Library for FlashGraph1907.03335v1 · Disa Mhembere, Da Zheng, Carey E. Priebe et al.2019 · 0 citationsarXiv
Geodesic Learning via Unsupervised Decision Forests1907.02844v1 · Meghana Madhyastha, Percy Li, James Browne et al.2019 · 1 citationarXiv
A community-developed open-source computational ecosystem for big neuro data.30377345 · Vogelstein, Joshua T, Perlman, Eric, Falk, Benjamin et al.2019 · 71 citationsNature methods. 2018;15(11):846-847
The Perils of Detecting Measurement Faults in Environmental Monitoring Networks1902.03492v1 · Jayant Gupchup, Abhishek Sharma, Andreas Terzis et al.2019 · 7 citationsProceedings of the ProSense Special Session and International Workshop on Wireless Sensor Network Deployments (WiDeploy), held at DCOSS 2008
Forest Packing: Fast, Parallel Decision Forests1806.07300v1 · James Browne, Tyler M. Tomita, Disa Mhembere et al.2018 · 12 citationsarXiv
A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability10.1101/188706v6 · Kiar, G., Bridgeford, E., Roncal, W. G. et al.2017 · 42 citationsbioRxiv
A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data1804.02835v2 · Randal Burns, Eric Perlman, Alex Baden et al.2018 · 71 citationsarXiv
NeuroStorm: Accelerating Brain Science Discovery in the Cloud1803.03367v2 · Gregory Kiar, Robert J. Anderson, Alex Baden et al.2018 · 0 citationsarXiv
Science in the cloud (SIC): A use case in MRI connectomics.28327935 · Kiar, Gregory, Gorgolewski, Krzysztof J, Kleissas, Dean et al.2018 · 31 citationsGigaScience. 2017;6(5):1-10
Whole-brain serial-section electron microscopy in larval zebrafish.28489821 · Hildebrand, David Grant Colburn, Cicconet, Marcelo, Torres, Russel Miguel et al.2017 · 429 citationsNature. 2017;545(7654):345-349
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library1606.08905v6 · Disa Mhembere, Da Zheng, Carey E. Priebe et al.2016 · 1 citationarXiv
FlashR: R-Programmed Parallel and Scalable Machine Learning using SSDs1604.06414v4 · Da Zheng, Disa Mhembere, Joshua T. Vogelstein et al.2016 · 1 citationarXiv
Whole-Brain Serial-Section Electron Microscopy In Larval Zebrafish10.1101/134882v1 · Hildebrand, D. G. C., Cicconet, M., Torres, R. M. et al.2017 · 429 citationsbioRxiv
Science In the Cloud (SIC): A use case in MRI Connectomics1610.08484v5 · Gregory Kiar, Krzysztof J. Gorgolewski, Dean Kleissas et al.2016 · 31 citationsarXiv
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics1312.4875v1 · William Gray Roncal, Zachary H. Koterba, Disa Mhembere et al.2013 · 40 citationsarXivon Valency
Grand Challenges for Global Brain Sciences1608.06548v3 · Joshua T. Vogelstein, Katrin Amunts, Andreas Andreou et al.2016 · 7 citationsarXiv
An SSD-based eigensolver for spectral analysis on billion-node graphs1602.01421v3 · Da Zheng, Randal Burns, Joshua Vogelstein et al.2016 · 4 citationsarXiv
A resource from 3D electron microscopy of hippocampal neuropil for user training and tool development.26347348 · Harris, Kristen M, Spacek, Josef, Bell, Maria Elizabeth et al.2015 · 55 citationsScientific data. 2015;2:150046
Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.25977797 · Weiler, Nicholas C, Collman, Forrest, Vogelstein, Joshua T et al.2015 · 15 citationsScientific data. 2014;1:140046
Saturated Reconstruction of a Volume of Neocortex.26232230 · Kasthuri, Narayanan, Hayworth, Kenneth Jeffrey, Berger, Daniel Raimund et al.2015 · 1,171 citationsCell. 2015;162(3):648-61
VESICLE: Volumetric Evaluation of Synaptic Interfaces using Computer vision at Large Scale1403.3724v4 · William Gray Roncal, Michael Pekala, Verena Kaynig-Fittkau et al.2014 · 12 citationsProceedings of the British Machine Vision Conference (BMVC), pages 81.1-81.13. BMVA Press, September 2015
An automated images-to-graphs framework for high resolution connectomics.26321942 · Gray Roncal, William R, Kleissas, Dean M, Vogelstein, Joshua T et al.2015 · 25 citationsFrontiers in neuroinformatics. 2015;9:20
Optimize Unsynchronized Garbage Collection in an SSD Array1506.07566v1 · Da Zheng, Randal Burns, Alexander S. Szalay2015 · 2 citationsarXiv
Gradient-Domain Fusion for Color Correction in Large EM Image Stacks1506.02079v1 · Michael Kazhdan, Kunal Lillaney, William Roncal et al.2015 · 8 citationsarXiv
Active Community Detection in Massive Graphs1412.8576v3 · Heng Wang, Da Zheng, Randal Burns et al.2014 · 4 citationsarXiv
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs1408.0500v3 · Da Zheng, Disa Mhembere, Randal Burns et al.2014 · 187 citationsarXiv
From cosmos to connectomes: the evolution of data-intensive science.25233306 · Burns, Randal, Vogelstein, Joshua T, Szalay, Alexander S2015 · 21 citationsNeuron. 2014;83(6):1249-52
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data1405.1965v1 · Ayushi Sinha, William Gray Roncal (1, Narayanan Kasthuri (3 et al.2014 · 1 citationarXiv
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes1404.4800v1 · Ayushi Sinha, William Gray Roncal, Narayanan Kasthuri et al.2014 · 0 citationsarXiv
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