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Randal Burns

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Johns Hopkins University

Masked Matrix Multiplication for Emergent Sparsity

Feb 21, 2024
Brian Wheatman, Meghana Madhyastha, Randal Burns

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Edge-Parallel Graph Encoder Embedding

Feb 06, 2024
Ariel Lubonja, Cencheng Shen, Carey Priebe, Randal Burns

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Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search

Sep 22, 2023
Robert Underwood, Meghana Madhastha, Randal Burns, Bogdan Nicolae

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Prospective Learning: Back to the Future

Jan 19, 2022
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena Savonenko, Ian Phillips, Michael I. Miller, Rene Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish Thakor, Justus M Kebschull, Marilyn Albert, Jinchong Xu, Marshall Hussain Shuler, Brian Caffo, Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan, Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Adam Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang

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PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment

Nov 10, 2020
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua Vogelstein, Randal Burns

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Geodesic Learning via Unsupervised Decision Forests

Jul 05, 2019
Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadova-Neeley, Carey E. Priebe, Randal Burns, Joshua T. Vogelstein

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Random Projection Forests

Oct 10, 2018
Tyler M. Tomita, James Browne, Cencheng Shen, Jesse L. Patsolic, Jason Yim, Carey E. Priebe, Randal Burns, Mauro Maggioni, Joshua T. Vogelstein

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Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data

Feb 27, 2018
Joshua T. Vogelstein, Minh Tang, Eric Bridgeford, Da Zheng, Randal Burns, Mauro Maggioni

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VESICLE: Volumetric Evaluation of Synaptic Interfaces using Computer vision at Large Scale

Sep 07, 2015
William Gray Roncal, Michael Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager

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An Automated Images-to-Graphs Framework for High Resolution Connectomics

Apr 30, 2015
William Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael Pekala, Randal Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager

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