5 citations · 11 across the 12 of their papers we have counts for
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math.OC2022
Comparing perspective reformulations for piecewise-convex optimization
Renan Spencer Trindade, Claudia D'Ambrosio, Antonio Frangioni +1
Our study is motivated by the solution of Mixed-Integer Non-Linear Programming (MINLP) problems with separable non-convex functions via the Sequential Convex MINLP technique, an it…
cs.LG2022★ 1 cited
Deep Neural Networks pruning via the Structured Perspective Regularization
Matteo Cacciola, Antonio Frangioni, Xinlin Li +1
In Machine Learning, Artificial Neural Networks (ANNs) are a very powerful tool, broadly used in many applications. Often, the selected (deep) architectures include many layers, an…