A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints

19 July 2023

Papers citing "A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints"

7 / 7 papers shown

Title
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 161 1 0 14 Oct 2024
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming Ethan King James Kotary Ferdinando Fioretto Ján Drgoňa 32 2 0 01 Apr 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints Jean-Baptiste Bouvier Kartik Nagpal Negar Mehr 43 3 0 20 Mar 2024
Learning Constrained Optimization with Deep Augmented Lagrangian Methods James Kotary Ferdinando Fioretto 37 4 0 06 Mar 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 38 3 0 22 Feb 2024
Dual Lagrangian Learning for Conic Optimization Mathieu Tanneau Pascal Van Hentenryck 24 4 0 05 Feb 2024
Sample-Specific Output Constraints for Neural Networks Mathis Brosowsky Olaf Dünkel Daniel Slieter Marius Zöllner AILaw PINN 54 10 0 23 Mar 2020