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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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07/26/2022
Thermodynamics of learning physical phenomena
Thermodynamics could be seen as an expression of physics at a high epist...
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03/11/2022
Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids
Learning and reasoning about physical phenomena is still a challenge in ...
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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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08/19/2021
Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis
The present paper aims at analyzing the topological content of the compl...
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06/24/2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency
Physics perception very often faces the problem that only limited data o...
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06/07/2021
Learning stable reduced-order models for hybrid twins
The concept of Hybrid Twin (HT) has recently received a growing interest...
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03/09/2021
PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit
Regressions created from experimental or simulated data enable the const...
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09/01/2020
MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM
We propose a new methodology to estimate the 3D displacement field of de...
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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
