Kunal Lillaney
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
4
Active years
2013–2021
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | KDD | BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment. | Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns |
| 2019 | CLOUD | Agni: An Efficient Dual-access File System over Object Storage. | Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns |
| 2017 | MICCAI | 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 |
| 2013 | SSDBM | 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 |