When trying to gain better visibility into a machine learning model in o...
Integer Linear Programs (ILPs) are powerful tools for modeling and solvi...
Compiler optimization passes are an important tool for improving program...
Large Neighborhood Search (LNS) is a popular heuristic algorithm for sol...
The size of deep neural networks has grown exponentially in recent years...
Optimization problems with expensive nonlinear cost functions and
combin...
We present LoopStack, a domain specific compiler stack for tensor operat...
As the computational requirements for machine learning systems and the s...
Interest in applying Artificial Intelligence (AI) techniques to compiler...
With the unprecedented proliferation of machine learning software, there...
Path planning, the problem of efficiently discovering high-reward
trajec...
As machine learning techniques become ubiquitous, the efficiency of neur...
Deep learning frameworks have often focused on either usability or speed...
The past few years have witnessed a growth in size and computational
req...
TensorFlow is an interface for expressing machine learning algorithms, a...