Kunal Lillaney

12 papers A* 1B 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2021 A* conf
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment.
KDD
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
2020 J jnl
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment.
CoRR
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
2019 — conf
Agni: An Efficient Dual-access File System over Object Storage.
SoCC
Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
2019 — conf
The Case for Dual-access File Systems over Object Storage.
HotStorage
Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
2019 J jnl
Towards Marrying Files to Objects.
CoRR
Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
2018 — conf
Building NDStore Through Hierarchical Storage Management and Microservice Processing.
eScience
Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns
2017 — conf
A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information.
MICCAI (1)
Kwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Jordan Matelsky, Alexander D. Baden, Kunal Lillaney, Karl Deisseroth, Li Ye, Joshua T. Vogelstein
2017 J jnl
Whole-brain serial-section electron microscopy in larval zebrafish.
Nat.
David Grant Colburn Hildebrand, Marcelo Cicconet, Russel Miguel Torres, Woohyuk Choi, Tran Minh Quan, Jungmin Moon, Arthur W. Wetzel, Andrew Scott Champion, Brett J. Graham, Owen Randlett, George S. Plummer, Ruben Portugues, Isaac Henry Bianco, Stephan Saalfeld, Alexander D. Baden, Kunal Lillaney, Randal C. Burns, Joshua T. Vogelstein, Alexander Schier, Wei-Chung Allen Lee, Won-Ki Jeong, Jeff William Lichtman, Florian Engert
2015 J jnl
An Automated Images-to-Graphs Framework for High Resolution Connectomics.
Frontiers Neuroinformatics
William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager
2015 J jnl
Gradient-Domain Fusion for Color Correction in Large EM Image Stacks.
CoRR
Michael M. Kazhdan, Kunal Lillaney, William R. Gray Roncal, Davi Bock, Joshua T. Vogelstein, Randal C. Burns
2013 J jnl
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience.
CoRR
Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
2013 B conf
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.
SSDBM
Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein