26 citations · 155 across the 46 of their papers we have counts for
5 papers · 1 filter
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering
Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner
Extended Kalman Filtering (EKF) can be used to propagate and quantify input uncertainty through a Deep Neural Network (DNN) assuming mild hypotheses on the input distribution. This…
Visually Representing the Landscape of Mathematical Structures
Katherine Gravel, Hayden Jananthan, Jeremy Kepner
The information technology explosion has dramatically increased the application of new mathematical ideas and has led to an increasing use of mathematics across a wide range of fie…
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
Jeremy Kepner, Ron Brightwell, Alan Edelman +10
The rise in computing hardware choices is driving a reevaluation of operating systems. The traditional role of an operating system controlling the execution of its own hardware is…
Sparse Deep Neural Network Exact Solutions
Jeremy Kepner, Vijay Gadepally, Hayden Jananthan +2
Deep neural networks (DNNs) have emerged as key enablers of machine learning. Applying larger DNNs to more diverse applications is an important challenge. The computations performe…
Design, Generation, and Validation of Extreme Scale Power-Law Graphs
Jeremy Kepner, Siddharth Samsi, William Arcand +18
Massive power-law graphs drive many fields: metagenomics, brain mapping, Internet-of-things, cybersecurity, and sparse machine learning. The development of novel algorithms and sys…