1 code implementation • 8 Nov 2017 • Michael Shvartsman, Narayanan Sundaram, Mikio C. Aoi, Adam Charles, Theodore C. Wilke, Jonathan D. Cohen
We show how the matrix-variate normal (MN) formalism can unify some of these methods into a single framework.
no code implementations • 17 Aug 2017 • Thorsten Kurth, Jian Zhang, Nadathur Satish, Ioannis Mitliagkas, Evan Racah, Mostofa Ali Patwary, Tareq Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
This paper presents the first, 15-PetaFLOP Deep Learning system for solving scientific pattern classification problems on contemporary HPC architectures.
4 code implementations • 19 Feb 2015 • Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams
Bayesian optimization is an effective methodology for the global optimization of functions with expensive evaluations.
Ranked #156 on Image Classification on CIFAR-10