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Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Nahal Mansouri, Sahand Jamal Rahi
2021
Conference Papers

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Nahal Mansouri, Sahand Jamal Rahi
2021
Conference Papers

Source officielle

Publications associées (27)

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https://infoscience.epfl.ch/entities/publication/be1738fc-3ac0-49ec-9f2d-ab6b8372c6f6

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Publications associées (27)

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Dependable learning and control through Neural ODEs

Muhammad Zakwan

Neural Networks (NNs), renowned for their universal approximation capabilities, have proven well-suited for parametrizing nonlinear control policies and modeling complex processes from available data. However, several NN architectures are physics-agnostic, ...

EPFL2025

Deterministic equivalent and error universality of deep random features learning

Hugo Chao Cui

This manuscript considers the problem of learning a random Gaussian network function using a fully connected network with frozen intermediate layers and trainable readout layer. This problem can be seen as a natural generalization of the widely studied ran ...

2024

Nonlinear two-scale beam simulations accelerated by thermodynamics-informed neural networks

Konstantinos Karapiperis

We introduce an efficient computational framework for the simulation of complex beam networks and architected materials. At its core stands a thermodynamics-informed neural network, which serves as a surrogate material model for the cross-sectional respons ...

2024