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Found 2 papers, 1 papers with code
Deep learning of thermodynamics-aware reduced-order models from data
We present an algorithm to learn the relevant latent variables of a large-scale discretized physical system and predict its time evolution using thermodynamically-consistent deep neural networks.
A Computational Model of a Single-Photon Avalanche Diode Sensor for Transient Imaging
In this work we describe a computational model to simulate the behaviour of SPAD sensors, aiming to provide a realistic camera model for time-resolved light transport simulation, with applications on prototyping new reconstructions techniques based on SPAD time-of-flight data.
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