Sfoglia per Rivista MACHINE LEARNING: SCIENCE AND TECHNOLOGY
Mostrati risultati da 1 a 4 di 4
Deep learning enhanced noise spectroscopy of a spin qubit environment
2023 Stefano Martina; Santiago Hernández-Gómez; Stefano Gherardini; Filippo Caruso; Nicole Fabbri
Learning from survey propagation: a neural network for MAX-E-3-SAT
2021 Raffaele Marino
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
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Deep learning enhanced noise spectroscopy of a spin qubit environment | 2023 | Stefano Martina; Santiago Hernández-Gómez; Stefano Gherardini; Filippo Caruso; Nicole Fabbri | |
Learning from survey propagation: a neural network for MAX-E-3-SAT | 2021 | Raffaele Marino | |
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 |
Mostrati risultati da 1 a 4 di 4
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile