Jacob D. Hinkle
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
5
Active years
2012–2022
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | SC | Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. | Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle |
| 2021 | SC | Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach. | Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga, Philipe Ambrozio Dias |
| 2020 | ICPP | Toward Large-Scale Image Segmentation on Summit. | Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris |
| 2018 | SBAC-PAD | HyperSpace: Distributed Bayesian Hyperparameter Optimization. | M. Todd Young, Jacob D. Hinkle, Arvind Ramanathan, Ramakrishnan Kannan |
| 2017 | ICIP | A map estimation algorithm for Bayesian polynomial regression on riemannian manifolds. | Prasanna Muralidharan, Jacob D. Hinkle, P. Thomas Fletcher |
| 2012 | ECCV | Polynomial Regression on Riemannian Manifolds. | Jacob D. Hinkle, Prasanna Muralidharan, P. Thomas Fletcher, Sarang C. Joshi |