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Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks.

C. Vercellino, G. Vitali, P. Viviani, A. Scionti, A. Scarabosio, O. Terzo, E. Giusto, and B. Montrucchio. COMPSAC, page 380-389. IEEE, (2023)

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Annalisa Viviani

Eliane Viviani

Giordano Paolo

Carlos Viviani

Karla Viviani Allebrandt

Other publications of authors with the same name

A Machine Learning Approach for an HPC Use Case: the Jobs Queuing Time Prediction.C. Vercellino, A. Scionti, G. Varavallo, P. Viviani, G. Vitali, and O. Terzo. Future Gener. Comput. Syst., (June 2023)Accelerating legacy applications with spatial computing devices.P. Savio, A. Scionti, G. Vitali, P. Viviani, C. Vercellino, O. Terzo, H. Nguyen, D. Magarielli, E. Spano, M. Marconcini and 1 other author(s). J. Supercomput., 79 (7): 7461-7483 (May 2023)Dynamic Job Allocation on Federated Cloud-HPC Environments.G. Vitali, A. Scionti, P. Viviani, C. Vercellino, and O. Terzo. CISIS, volume 497 of Lecture Notes in Networks and Systems, page 71-82. Springer, (2022)Cognitive science in Europe - a report from the FAST programme of the Commission of the European Communities.M. Imbert, P. Bertelson, R. Kempson, D. Osherson, H. Schnelle, N. Streitz, A. Thomassen, and P. Viviani. Recent research in psychology Springer, (1987)Deep Learning for Real-Time Neural Decoding of Grasp.P. Viviani, I. Gesmundo, E. Ghinato, A. Agudelo-Toro, C. Vercellino, G. Vitali, L. Bergamasco, A. Scionti, M. Ghislieri, V. Agostini and 2 other author(s). ECML/PKDD (6), volume 14174 of Lecture Notes in Computer Science, page 379-393. Springer, (2023)Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations.M. Drocco, P. Viviani, I. Colonnelli, M. Aldinucci, and M. Grangetto. PDP, page 9-16. IEEE, (2019)BBQ-mIS: A Parallel Quantum Algorithm for Graph Coloring Problems.C. Vercellino, G. Vitali, P. Viviani, E. Giusto, A. Scionti, A. Scarabosio, O. Terzo, and B. Montrucchio. QCE, page 141-147. IEEE, (2023)Neural-powered unit disk graph embedding: qubits connectivity for some QUBO problems.C. Vercellino, P. Viviani, G. Vitali, A. Scionti, A. Scarabosio, O. Terzo, E. Giusto, and B. Montrucchio. QCE, page 186-196. IEEE, (2022)Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks.C. Vercellino, G. Vitali, P. Viviani, A. Scionti, A. Scarabosio, O. Terzo, E. Giusto, and B. Montrucchio. COMPSAC, page 380-389. IEEE, (2023)Taming Multi-node Accelerated Analytics: An Experience in Porting MATLAB to Scale with Python.P. Viviani, G. Vitali, D. Lengani, A. Scionti, C. Vercellino, and O. Terzo. CISIS, volume 497 of Lecture Notes in Networks and Systems, page 200-210. Springer, (2022)

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Disambiguation of "Viviani, Paolo"

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Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks.

Please choose a person to relate this publication to

Annalisa Viviani

Eliane Viviani

Giordano Paolo

Carlos Viviani

Karla Viviani Allebrandt

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Viviani, Paolo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks.

Please choose a person to relate this publication to

Annalisa Viviani

Eliane Viviani

Giordano Paolo

Carlos Viviani

Karla Viviani Allebrandt

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks.