Kunal Lillaney

According to our database, Kunal Lillaney authored at least 11 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2021

BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment.

Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

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

Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns

CoRR, 2020

2019

Towards Marrying Files to Objects.

Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns

CoRR, 2019

The Case for Dual-access File Systems over Object Storage.

Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns

Proceedings of the 11th USENIX Workshop on Hot Topics in Storage and File Systems, 2019

Agni: An Efficient Dual-access File System over Object Storage.

Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Building NDStore Through Hierarchical Storage Management and Microservice Processing.

Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Whole-brain serial-section electron microscopy in larval zebrafish.

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

Nat., 2017

A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015

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

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

Frontiers Neuroinformatics, 2015

Gradient-Domain Fusion for Color Correction in Large EM Image Stacks.

Michael M. Kazhdan, Kunal Lillaney, William R. Gray Roncal, Davi Bock, Joshua T. Vogelstein, Randal C. Burns

CoRR, 2015

2013

The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.

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

Proceedings of the Conference on Scientific and Statistical Database Management, 2013