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Manuel Dahmen

Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data

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Jun 03, 2024
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Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization

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Mar 21, 2024
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Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows

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Nov 23, 2023
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End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear MPC

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Aug 03, 2023
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A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms

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Nov 22, 2022
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Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction

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Jul 27, 2022
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Graph neural networks for the prediction of molecular structure-property relationships

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Jul 25, 2022
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Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids

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Jun 23, 2022
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Graph Machine Learning for Design of High-Octane Fuels

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Jun 01, 2022
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Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows

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May 27, 2022
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