2 papers
cs.LG2020
Ultrahyperbolic Representation Learning
Marc T. Law, Jos Stam
In machine learning, data is usually represented in a (flat) Euclidean space where distances between points are along straight lines. Researchers have recently considered more exot…
cs.GR2020
Computing Light Transport Gradients using the Adjoint Method
Jos Stam
This paper proposes a new equation from continuous adjoint theory to compute the gradient of quantities governed by the Transport Theory of light. Unlike discrete gradients ala aut…