302 citations · 518 across the 20 of their papers we have counts for
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GAUCHE: A Library for Gaussian Processes in Chemistry
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss +24
We introduce GAUCHE, a library for GAUssian processes in CHEmistry. Gaussian processes have long been a cornerstone of probabilistic machine learning, affording particular advantag…
NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics
Ryan Griffiths, Jack Naylor, Donald G. Dansereau
There are a multitude of emerging imaging technologies that could benefit robotics. However the need for bespoke models, calibration and low-level processing represents a key barri…
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks
Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached +1
We present a novel bi-modal system based on deep networks to address the problem of learning associations and simple meanings of objects depicted in "authored" images, such as fine…