activity
20172026
most citedDeep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study

60 citations · 75 across the 5 of their papers we have counts for

collaborators

8 papers

math.OC2026

GPU-accelerated wind farm layout search with a distilled endogenous wake model (EndoWake)

Martina Fischetti, Matteo Fischetti

Wind farm layout optimization decides where to place turbines to maximize annual energy production, and wake effects decide how much of that energy is produced. Accurate wake model…

math.OC2026

EndoWake: Modeling Wind by Linear Programming for Wind Farm Layout Optimization

Martina Fischetti, Matteo Fischetti

The Wind Farm Layout Optimization problem consists of placing a given number of turbines within a given area so as to maximize energy production. One of its main challenges is the…

cs.LG2026

Minibatch persistency, eight years later: what batch reuse costs in steps and joules, and what it saves in data

Matteo Fischetti

Minibatch persistency reuses data instead of reading it: rather than drawing a fresh minibatch at every optimizer step, it takes K consecutive steps on the same one. Absorbed into…

math.OC2021

Revisiting local branching with a machine learning lens

Defeng Liu, Matteo Fischetti, Andrea Lodi

Finding high-quality solutions to mixed-integer linear programming problems (MILPs) is of great importance for many practical applications. In this respect, the refinement heuristi…

cs.DS2019

Finding First and Most-Beautiful Queens by Integer Programming

Matteo Fischetti, Domenico Salvagnin

The n-queens puzzle is a well-known combinatorial problem that requires to place n queens on an n x n chessboard so that no two queens can attack each other. Since the 19th century…

cs.LG2019★ 13 cited

Embedded hyper-parameter tuning by Simulated Annealing

Matteo Fischetti, Matteo Stringher

We propose a new metaheuristic training scheme that combines Stochastic Gradient Descent (SGD) and Discrete Optimization in an unconventional way. Our idea is to define a discrete…