Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program

Optimal training of integer-valued neural networks with mixed integer programming

(2023) Tómas Thorbjarnarson et al.   PLoS One

Image convolution: a linear programming approach for filters design

(2021) Giovanni Capobianco et al.   Soft Computing

Strong mixed-integer programming formulations for trained neural networks

(2020) Ross Anderson et al.   MATHEMATICAL PROGRAMMING

Optimization problems for machine learning: A survey

(2020) Claudio Gambella et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

ReLU networks as surrogate models in mixed-integer linear programs

(2019) Bjarne Grimstad et al.   COMPUTERS & CHEMICAL ENGINEERING

Synaptic Clustering and Memory Formation

(2019) George Kastellakis et al.   Frontiers in Molecular Neuroscience

Deep neural networks and mixed integer linear optimization

(2018) Matteo Fischetti et al.   CONSTRAINTS

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

(2018) Decebal Constantin Mocanu et al.   Nature Communications

Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data

(2017) Babajide O. Ayinde et al.   IEEE Transactions on Neural Networks and Learning Systems

Network Optimization Problems Subject to Max-Min Fair Flow Allocation

(2013) E. Amaldi et al.   IEEE COMMUNICATIONS LETTERS

Performing Feature Selection With Multilayer Perceptrons

(2008) E. Romero et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS