Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Publication
Debugging Machine Learning Tasks
Video
Information-Theoretic Bounded Rationality
In this talk I provide an overview of information-theoretic bounded-rationality for planning in sequential decision problems. I show how to ground the theory on a stochastic computation model for large-scale choice spaces and then derive…
Video
Revealing Nuances in Data at Scale
People are asked to explore and make sense of enormous amounts of information on a daily basis. Faced with the limits of human perception and cognition, many turn to machine learning and data visualization technologies…
Tool
StereoMatcher
StereoMatcher is an implementation of some commonly used two-frame stereo matching algorithms. It also contains code to evaluate the quality of a computed depth map relative to a ground truth image.
Video
Gated Graph Sequence Neural Networks
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph…
