Joshua T. Vogelstein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
11
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICDE | T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure. | Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns |
| 2023 | ICCV | Why do networks have inhibitory/negative connections? | Qingyang Wang, Michael A. Powell, Ali Geisa, Eric Bridgeford, Carey E. Priebe, Joshua T. Vogelstein |
| 2023 | ICML | Polarity Is All You Need to Learn and Transfer Faster. | Qingyang Wang, Michael Alan Powell, Eric W. Bridgeford, Ali Geisa, Joshua T. Vogelstein |
| 2023 | ICML | The Value of Out-of-Distribution Data. | Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein |
| 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 |
| 2020 | KDD | Geodesic Forests. | Meghana Madhyastha, Gongkai Li, Veronika Strnadov-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe |
| 2019 | SDM | Forest Packing: Fast Parallel, Decision Forests. | James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns |
| 2018 | PPoPP | FlashR: parallelize and scale R for machine learning using SSDs. | Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns |
| 2017 | HPDC | knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. | Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, 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 |
| 2017 | SDM | ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. | Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein |
| 2015 | BMVC | VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. | William R. Gray Roncal, Michael J. Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal C. Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager |
| 2015 | FAST | FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. | Da Zheng, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay |
| 2013 | SDM | DELTACON: A Principled Massive-Graph Similarity Function. | Christos Faloutsos, Danai Koutra, 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 |
| 2011 | MICCAI | Network-Based Classification Using Cortical Thickness of AD Patients. | Dai Dai, Huiguang He, Joshua T. Vogelstein, Zengguang Hou |