convex-neural-network

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matlab-deep-learning / constrained-deep-learning

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

deep-learning monotonicity neural-networks deep-learning-algorithms monotonic convex lipschitz lipschitz-network convex-neural-network ai-verification

Updated Apr 28, 2025
MATLAB

martindoffsotta / DC-Deep-Neural-Network

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Learn dynamical systems as a difference of convex functions (DC) using a feedforward Neural Network (NN) architecture with DC structure. The resulting model learns the dynamics f in DC form as follows: f= f1 -f2 where f1 and f2 are convex functions. The DC structure of the network allows to independently express f1 and f2 as two input convex NN.

deep-learning neural-network feedforward-neural-network convex difference-of-convex-functions dc-program dc-decomposition convex-neural-network

Updated Oct 21, 2023
Python

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