Sfoglia per Rivista MACHINE LEARNING: SCIENCE AND TECHNOLOGY
A path towards quantum advantage in training deep generative models with quantum annealers
2020 Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad Amin
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
2024 Marino Raffaele
Stable attractors for neural networks classification via ordinary differential equations (SA-nODE)
2024 Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli , Duccio Fanelli
Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating
2023 Nikoloska, I; Simeone, O; Banchi, L; Velickovic, P
Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes
2025 Bombini, Alessandro; García-Avello Bofías, Fernando; Giambi, Francesca; Ruberto, Chiara
Train stochastic non linear coupled ODEs to classify and generate
2026 Gagliani, Stefano; Giuseppe Pacifico, Feliciano; Chicchi, Lorenzo; Fanelli, Duccio; Febbe, Diego; Buffoni, Lorenzo; Marino, Raffaele
Transfer learning with generative models for object detection on limited datasets
2024 Paiano, Matteo; Martina, Stefano; Giannelli, Carlotta; Caruso, Filippo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A path towards quantum advantage in training deep generative models with quantum annealers | 2020 | Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad Amin | |
| Phase transitions in the mini-batch size for sparse and dense two-layer neural networks | 2024 | Marino Raffaele | |
| Stable attractors for neural networks classification via ordinary differential equations (SA-nODE) | 2024 | Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli , Duccio Fanelli | |
| Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating | 2023 | Nikoloska, I; Simeone, O; Banchi, L; Velickovic, P | |
| Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes | 2025 | Bombini, Alessandro; García-Avello Bofías, Fernando; Giambi, Francesca; Ruberto, Chiara | |
| Train stochastic non linear coupled ODEs to classify and generate | 2026 | Gagliani, Stefano; Giuseppe Pacifico, Feliciano; Chicchi, Lorenzo; Fanelli, Duccio; Febbe, Diego; Buffoni, Lorenzo; Marino, Raffaele | |
| Transfer learning with generative models for object detection on limited datasets | 2024 | Paiano, Matteo; Martina, Stefano; Giannelli, Carlotta; Caruso, Filippo |
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