1 code implementation • AAAI Workshop CLeaR 2022 • David Calhas, Vasco M. Manquinho, Ines Lynce
Here, we propose a framework that encodes the structure of a convolutional neural network, respecting the arithmetical relation of the kernel and stride sizes with the input and output shapes.
no code implementations • 10 Oct 2019 • Ruben Martins, Saurabh Joshi, Vasco Manquinho, Ines Lynce
To celebrate the first 25 years of the International Conference on Principles and Practice of Constraint Programming (CP) the editors invited the authors of the most cited paper of each year to write a commentary on their paper.
no code implementations • 20 Aug 2014 • Ruben Martins, Saurabh Joshi, Vasco Manquinho, Ines Lynce
In general, MaxSAT algorithms perform a succession of SAT solver calls to reach an optimum solution making extensive use of cardinality constraints.