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Uncertainty estimation in Deep Learning for Panoptic segmentation
This is the case with panoptic segmentation, where the structure of the problem and architectures designed to solve it means that unlike image classification or even semantic segmentation, the typical solution of using a mean across samples cannot be directly applied.
Adjoint-aided inference of Gaussian process driven differential equations
In this paper we show how the adjoint of a linear system can be used to efficiently infer forcing functions modelled as GPs, using a truncated basis expansion of the GP kernel.
Amanuensis: The Programmer's Apprentice
This document provides an overview of the material covered in a course taught at Stanford in the spring quarter of 2018.
How Does Twitter User Behavior Vary Across Demographic Groups?
Demographically-tagged social media messages are a common source of data for computational social science.
