Lorenzo Buffoni

30 papers A* 1Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Graph Neural Networks in Solving Hard Constraint Satisfaction Problems. CoRR Geri Skenderi, Lorenzo Buffoni, Francesco D'Amico, David Machado, Raffaele Marino, Matteo Negri, Federico Ricci-Tersenghi, Carlo Lucibello, Maria Chiara Angelini
2025	J	`jnl`	Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. Mach. Learn. Sci. Technol. Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Francesca Di Patti, Lorenzo Giambagli, Raffaele Marino
2025	J	`jnl`	Learning in Wilson-Cowan Model for Metapopulation. Neural Comput. Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli
2024	J	`jnl`	A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms. CoRR Raffaele Marino, Lorenzo Buffoni, Bogdán Zaválnij
2024	J	`jnl`	Automatic Input Feature Relevance via Spectral Neural Networks. CoRR Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli
2024	J	`jnl`	Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. CoRR Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Francesca Di Patti, Lorenzo Giambagli, Raffaele Marino
2024	J	`jnl`	Learning in Wilson-Cowan model for metapopulation. CoRR Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli
2024	J	`jnl`	Stable attractors for neural networks classification via ordinary differential equations (SA-nODE). Mach. Learn. Sci. Technol. Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli, Duccio Fanelli
2023	J	`jnl`	A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). CoRR Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli
2023	J	`jnl`	Complex Recurrent Spectral Network. CoRR Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli
2023	J	`jnl`	Cooperative quantum information erasure. Quantum Lorenzo Buffoni, Michele Campisi
2023	J	`jnl`	Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 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
2023	A*	`conf`	How a Student becomes a Teacher: learning and forgetting through Spectral methods. NeurIPS Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli
2023	J	`jnl`	How a student becomes a teacher: learning and forgetting through Spectral methods. CoRR Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli
2023	J	`jnl`	Quantum density peak clustering. Quantum Mach. Intell. Duarte Magano, Lorenzo Buffoni, Yasser Omar
2022	J	`jnl`	Learning the noise fingerprint of quantum devices. Quantum Mach. Intell. Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
2022	J	`jnl`	Network-based link prediction of scientific concepts - a Science4Cast competition entry. CoRR João P. Moutinho, Bruno C. Coutinho, Lorenzo Buffoni
2022	J	`jnl`	Noise fingerprints in quantum computers: Machine learning software tools. CoRR Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
2022	J	`jnl`	Noise fingerprints in quantum computers: Machine learning software tools. Softw. Impacts Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
2022	J	`jnl`	Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR 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
2022	J	`jnl`	Quantum reinforcement learning: the maze problem. Quantum Mach. Intell. Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso
2022	J	`jnl`	Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification. CoRR Lorenzo Chicchi, Duccio Fanelli, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti
2021	J	`jnl`	Learning the noise fingerprint of quantum devices. CoRR Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
2021	—	`conf`	Network-based link prediction of scientific concepts - a Science4Cast competition entry. IEEE BigData João P. Moutinho, Bruno C. Coutinho, Lorenzo Buffoni
2021	J	`jnl`	New Trends in Quantum Machine Learning. CoRR Lorenzo Buffoni, Filippo Caruso
2021	J	`jnl`	On the training of sparse and dense deep neural networks: less parameters, same performance. CoRR Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Marco Ciavarella, Duccio Fanelli
2020	J	`jnl`	A path towards quantum advantage in training deep generative models with quantum annealers. Mach. Learn. Sci. Technol. Walter Winci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin
2020	J	`jnl`	Machine learning in spectral domain. CoRR Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, Duccio Fanelli
2019	J	`jnl`	A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers. CoRR Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin
2019	J	`jnl`	PixelVAE++: Improved PixelVAE with Discrete Prior. CoRR Hossein Sadeghi, Evgeny Andriyash, Walter Vinci, Lorenzo Buffoni, Mohammad H. Amin