Lorenzo Buffoni

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Spectral Domain

Entity Resolution

Classification Algorithm

Link Prediction

Top Venues

Quantum Mach. Intell.

Mach. Learn. Sci. Technol.

Publications

Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli
Automatic Input Feature Relevance via Spectral Neural Networks. CoRR (2024)
Raffaele Marino, Lorenzo Buffoni, Bogdán Zaválnij
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms. CoRR (2024)
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli
Learning in Wilson-Cowan model for metapopulation. CoRR (2024)
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli, Duccio Fanelli
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing. CoRR (2023)
Duarte Magano, Lorenzo Buffoni, Yasser Omar
Quantum density peak clustering. Quantum Mach. Intell. 5 (1) (2023)
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 5 (11) (2023)
Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli
How a student becomes a teacher: learning and forgetting through Spectral methods. CoRR (2023)
Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli
Complex Recurrent Spectral Network. CoRR (2023)
Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli
A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). CoRR (2023)
Lorenzo Buffoni, Michele Campisi
Cooperative quantum information erasure. Quantum 7 (2023)
Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli
How a Student becomes a Teacher: learning and forgetting through Spectral methods. NeurIPS (2023)
Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso
Quantum reinforcement learning: the maze problem. Quantum Mach. Intell. 4 (2) (2022)
João P. Moutinho, Bruno Coutinho, Lorenzo Buffoni
Network-based link prediction of scientific concepts - a Science4Cast competition entry. CoRR (2022)
Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR (2022)
Lorenzo Chicchi, Duccio Fanelli, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification. CoRR (2022)
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
Learning the noise fingerprint of quantum devices. Quantum Mach. Intell. 4 (1) (2022)
Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
Noise fingerprints in quantum computers: Machine learning software tools. CoRR (2022)
Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
Noise fingerprints in quantum computers: Machine learning software tools. Softw. Impacts 12 (2022)
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
Learning the noise fingerprint of quantum devices. CoRR (2021)
Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Marco Ciavarella, Duccio Fanelli
On the training of sparse and dense deep neural networks: less parameters, same performance. CoRR (2021)
João P. Moutinho, Bruno Coutinho, Lorenzo Buffoni
Network-based link prediction of scientific concepts - a Science4Cast competition entry. IEEE BigData (2021)
Lorenzo Buffoni, Filippo Caruso
New Trends in Quantum Machine Learning. CoRR (2021)
Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, Duccio Fanelli
Machine learning in spectral domain. CoRR (2020)
Walter Winci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin
A path towards quantum advantage in training deep generative models with quantum annealers. Mach. Learn. Sci. Technol. 1 (4) (2020)
Hossein Sadeghi, Evgeny Andriyash, Walter Vinci, Lorenzo Buffoni, Mohammad H. Amin
PixelVAE++: Improved PixelVAE with Discrete Prior. CoRR (2019)
Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers. CoRR (2019)