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11/03/2022
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
We develop inductive biases for the machine learning of complex physical...
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10/24/2022
Thermodynamics-informed neural networks for physically realistic mixed reality
The imminent impact of immersive technologies in society urges for activ...
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03/03/2022
Thermodynamics-informed graph neural networks
In this paper we present a deep learning method to predict the temporal ...
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07/03/2020
Deep learning of thermodynamics-aware reduced-order models from data
We present an algorithm to learn the relevant latent variables of a larg...
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04/09/2020
Structure-preserving neural networks
We develop a method to learn physical systems from data that employs fee...
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05/23/2018
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging
Time-of-flight (ToF) imaging has become a widespread technique for depth...
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02/23/2017
