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Lorenzo Buffoni

Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
2021 · Tommaso Biancalani, Gabriele Scalia, et al. · Nature Methods · 935
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Quantum Measurement Cooling
2019 · Lorenzo Buffoni, Andrea Solfanelli, et al. · Physical Review Letters · 176
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Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
2023 · Mario Krenn, Lorenzo Buffoni, et al. · Nature Machine Intelligence · 93
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Stepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironment
2022 · Eran Hodis, Elena Torlai Triglia, et al. · Science · 62
A path towards quantum advantage in training deep generative models with quantum annealers
2020 · Walter Winci, Lorenzo Buffoni, et al. · Machine Learning Science and Technology · 55
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Experimental characterization of the energetics of quantum logic gates
2020 · V. Cimini, S. Gherardini, et al. · npj Quantum Information · 43
Thermodynamics of a Quantum Annealer
2020 · Buffoni, Lorenzo, Campisi, Michele · arXiv (Cornell University) · 41
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Thermodynamics of a quantum annealer
2020 · Lorenzo Buffoni, Michele Campisi · Quantum Science and Technology · 39
New trends in quantum machine learning (a)
2020 · Lorenzo Buffoni, Filippo Caruso · Europhysics Letters (EPL) · 37
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Quantum reinforcement learning: the maze problem
2022 · Nicola Dalla Pozza, Lorenzo Buffoni, et al. · Quantum Machine Intelligence · 35
Learning the noise fingerprint of quantum devices
2022 · Stefano Martina, Lorenzo Buffoni, et al. · Quantum Machine Intelligence · 29
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Nonequilibrium quantum-heat statistics under stochastic projective measurements
2018 · Stefano Gherardini, Lorenzo Buffoni, et al. · Physical review. E · 27
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Third Law of Thermodynamics and the Scaling of Quantum Computers
2022 · Lorenzo Buffoni, Stefano Gherardini, et al. · Physical Review Letters · 25
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Maximal energy extraction via quantum measurement
2019 · Andrea Solfanelli, Lorenzo Buffoni, et al. · Journal of Statistical Mechanics Theory and Experiment · 25
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Experimental Quantum Embedding for Machine Learning
2022 · Ilaria Gianani, Ivana Mastroserio, et al. · Advanced Quantum Technologies · 23
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Machine learning in spectral domain
2021 · Lorenzo Giambagli, Lorenzo Buffoni, et al. · RePEc: Research Papers in Economics · 23
Spectral pruning of fully connected layers
2022 · Lorenzo Buffoni, Enrico Civitelli, et al. · Scientific Reports · 19
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Improved bound on entropy production in a quantum annealer
2021 · Michele Campisi, Lorenzo Buffoni · Physical review. E · 16
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Spontaneous Fluctuation-Symmetry Breaking and the Landauer Principle
2022 · Lorenzo Buffoni, Michele Campisi · Journal of Statistical Physics · 15
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PixelVAE++: Improved PixelVAE with Discrete Prior
2019 · Sadeghi, Hossein, Andriyash, Evgeny, et al. · arXiv (Cornell University) · 14
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Cooperative quantum information erasure
2023 · Lorenzo Buffoni, Michele Campisi · Quantum · 13
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Training of sparse and dense deep neural networks: Fewer parameters, same performance
2021 · Lorenzo Chicchi, Lorenzo Giambagli, et al. · Physical review. E · 12
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A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
2019 · Vinci, Walter, Buffoni, Lorenzo, et al. · arXiv (Cornell University) · 10
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Stable attractors for neural networks classification via ordinary differential equations (SA-nODE)
2024 · Raffaele Marino, Lorenzo Buffoni, et al. · Machine Learning Science and Technology · 8
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How a student becomes a teacher: learning and forgetting through spectral methods
2024 · Lorenzo Giambagli, Lorenzo Buffoni, et al. · Journal of Statistical Mechanics Theory and Experiment · 8
Works count: 75
Citation count: 1,869
H-index: 17
I10-index: 23
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