Generalized GEMM Kernels on GPGPUs: Experiments and Applications. - Davide Barbieri; Valeria Cardellini; Salvatore Filippone (PARCO, 2009)

Design Patterns for Scientific Computations on Sparse Matrices. - Davide Barbieri; Valeria Cardellini; Salvatore Filippone; Damian W. I. Rouson (Euro-Par Workshops (1), 2011)

On Repetition Protocols and Power Control for Multiple Access Block-Fading Channels. - Davide Barbieri; Daniela Tuninetti (ICC, 2011)

Fast Uniform Grid Construction on GPGPUs Using Atomic Operations. - Davide Barbieri; Valeria Cardellini; Salvatore Filippone (PARCO, 2013)

Exhaustive Key Search on Clusters of GPUs. - Davide Barbieri; Valeria Cardellini; Salvatore Filippone (IPDPS Workshops, 2014)

Cortical spatio-temporal dimensionality reduction for visual grouping. - Giacomo Cocci; Davide Barbieri; Giovanna Citti; Alessandro Sarti (CoRR, 2014)

A Cortical-Inspired Geometry for Contour Perception and Motion Integration. - Davide Barbieri; Giovanna Citti; Giacomo Cocci; Alessandro Sarti (J. Math. Imaging Vis., 2014)

SIMPL: A Pattern Language for Writing Efficient Kernels on GPGPU. - Davide Barbieri; Valeria Cardellini; Salvatore Filippone (SE4HPCS@ICSE, 2015)

Geometry and dimensionality reduction of feature spaces in primary visual cortex. - Davide Barbieri (CoRR, 2015)

Cortical Spatiotemporal Dimensionality Reduction for Visual Grouping. - Giacomo Cocci; Davide Barbieri; Giovanna Citti; Alessandro Sarti (Neural Comput., 2015)

Sparse Matrix-Vector Multiplication on GPGPUs. - Salvatore Filippone; Valeria Cardellini; Davide Barbieri; Alessandro Fanfarillo (ACM Trans. Math. Softw., 2017)

Optimal translational-rotational invariant dictionaries for images. - Davide Barbieri; Carlos Cabrelli; Eugenio Hernández; Ursula Molter (CoRR, 2019)

Reconstructing Group Wavelet Transform From Feature Maps With a Reproducing Kernel Iteration. - Davide Barbieri (Frontiers Comput. Neurosci., 2022)

Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control. - Yassine El Manyari; Anton Robert Fuxjäger; Stefan Zahlner; Joost van Dijk; Alberto Castagna; Davide Barbieri; Jan Viebahn; Marcel Wasserer (e-Energy, 2025)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control. - Barbera de Mol; Davide Barbieri; Jan Viebahn; Davide Grossi (e-Energy, 2025)

Is Stochastic Gradient Descent Effective? A PDE Perspective on Machine Learning processes. - Davide Barbieri; Matteo Bonforte; Peio Ibarrondo (CoRR, 2025)

Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control. - Yassine El Manyari; Anton R. Fuxjäger; Stefan Zahlner; Joost van Dijk; Alberto Castagna; Davide Barbieri; Jan Viebahn; Marcel Wasserer (CoRR, 2025)

Multi-Objective Reinforcement Learning for Power Grid Topology Control. - Thomas Lautenbacher; Ali Rajaei; Davide Barbieri; Jan Viebahn; Jochen L. Cremer (CoRR, 2025)

Scattering Networks on Noncommutative Finite Groups. - Maria Teresa Arias; Davide Barbieri; Eugenio Hernández (CoRR, 2025)