PixelVAE++: Improved PixelVAE with Discrete Prior. - Hossein Sadeghi; Evgeny Andriyash; Walter Vinci; Lorenzo Buffoni; Mohammad H. Amin (CoRR, 2019)

A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers. - Walter Vinci; Lorenzo Buffoni; Hossein Sadeghi; Amir Khoshaman; Evgeny Andriyash; Mohammad H. Amin (CoRR, 2019)

Machine learning in spectral domain. - Lorenzo Giambagli; Lorenzo Buffoni; Timoteo Carletti; Walter Nocentini; Duccio Fanelli (CoRR, 2020)

A path towards quantum advantage in training deep generative models with quantum annealers. - Walter Winci; Lorenzo Buffoni; Hossein Sadeghi; Amir Khoshaman; Evgeny Andriyash; Mohammad H. Amin (Mach. Learn. Sci. Technol., 2020)

Network-based link prediction of scientific concepts - a Science4Cast competition entry. - João P. Moutinho; Bruno C. Coutinho; Lorenzo Buffoni (IEEE BigData, 2021)

On the training of sparse and dense deep neural networks: less parameters, same performance. - Lorenzo Chicchi; Lorenzo Giambagli; Lorenzo Buffoni; Timoteo Carletti; Marco Ciavarella; Duccio Fanelli (CoRR, 2021)

New Trends in Quantum Machine Learning. - Lorenzo Buffoni; Filippo Caruso (CoRR, 2021)

Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification. - Lorenzo Chicchi; Duccio Fanelli; Lorenzo Giambagli; Lorenzo Buffoni; Timoteo Carletti (CoRR, 2022)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - 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; et al. (CoRR, 2022)

Learning the noise fingerprint of quantum devices. - Stefano Martina; Lorenzo Buffoni; Stefano Gherardini; Filippo Caruso (Quantum Mach. Intell., 2022)

Quantum reinforcement learning: the maze problem. - Nicola Dalla Pozza; Lorenzo Buffoni; Stefano Martina; Filippo Caruso (Quantum Mach. Intell., 2022)

Noise fingerprints in quantum computers: Machine learning software tools. - Stefano Martina; Stefano Gherardini; Lorenzo Buffoni; Filippo Caruso (Softw. Impacts, 2022)

How a Student becomes a Teacher: learning and forgetting through Spectral methods. - Lorenzo Giambagli; Lorenzo Buffoni; Lorenzo Chicchi; Duccio Fanelli (NeurIPS, 2023)

A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). - Raffaele Marino; Lorenzo Giambagli; Lorenzo Chicchi; Lorenzo Buffoni; Duccio Fanelli (CoRR, 2023)

Complex Recurrent Spectral Network. - Lorenzo Chicchi; Lorenzo Giambagli; Lorenzo Buffoni; Raffaele Marino; Duccio Fanelli (CoRR, 2023)

Cooperative quantum information erasure. - Lorenzo Buffoni; Michele Campisi (Quantum, 2023)

Quantum density peak clustering. - Duarte Magano; Lorenzo Buffoni; Yasser Omar (Quantum Mach. Intell., 2023)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - 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; et al. (Nat. Mac. Intell., 2023)

A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms. - Raffaele Marino; Lorenzo Buffoni; Bogdán Zaválnij (CoRR, 2024)

Automatic Input Feature Relevance via Spectral Neural Networks. - Lorenzo Chicchi; Lorenzo Buffoni; Diego Febbe; Lorenzo Giambagli; Raffaele Marino; Duccio Fanelli (CoRR, 2024)

Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. - Lorenzo Chicchi; Duccio Fanelli; Diego Febbe; Lorenzo Buffoni; Francesca Di Patti; Lorenzo Giambagli; Raffaele Marino (CoRR, 2024)

Stable attractors for neural networks classification via ordinary differential equations (SA-nODE). - Raffaele Marino; Lorenzo Buffoni; Lorenzo Chicchi; Lorenzo Giambagli; Duccio Fanelli (Mach. Learn. Sci. Technol., 2024)

Learning in Wilson-Cowan Model for Metapopulation. - Raffaele Marino; Lorenzo Buffoni; Lorenzo Chicchi; Francesca Di Patti; Diego Febbe; Lorenzo Giambagli; Duccio Fanelli (Neural Comput., 2025)