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Found 3 papers, 1 papers with code
An Exact Bitwise Reversible Integrator
At a fundamental level most physical equations are time reversible.
Ultrahyperbolic Representation Learning
In machine learning, data is usually represented in a (flat) Euclidean space where distances between points are along straight lines.
Computing Light Transport Gradients using the Adjoint Method
The key insight of this paper is that computing gradients in Transport Theory is akin to computing the importance, a quantity adjoint to radiance that satisfies an adjoint equation.
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