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R

Raffaele Marino

università degli studi di firenze

9H指数
48论文数
217被引数
收录论文 11
发表时间
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A short review on the maximum clique problem algorithms with classical, AI, and quantum methods关于经典、人工智能和量子方法的最大团问题算法的简短综述
errCommunications Physics
IF5.8
err2026-07-16
err0
errOAAI
errRaffaele Marino; Lorenzo Buffoni; Bogdan Zavalnij
err分享
err收藏
Smart walkers in discrete space离散空间中的智能助行器
errchaos, solitons & fractals
IF0
err2026-04-18
err0
errOAAI
errGianluca Peri; Lorenzo Buffoni; Giacomo Chiti; Duccio Fanelli; Raffaele Marino; Andrea Nocentini; Pier Paolo Panti
err分享
err收藏
Estimating global input relevance and enforcing sparse representations with a scalable spectral neural network approach估计全局输入相关性并使用可扩展的谱神经网络方法强制稀疏表示
errCommunications Physics
IF5.8
err2026-04-09
err0
errOAAI
errLorenzo Chicchi; Lorenzo Buffoni; Diego Febbe; Lorenzo Giambagli; Raffaele Marino; Duccio Fanelli
err分享
err收藏
Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise确定性动态分类器与随机动态分类器：使用噪声对抗随机对抗攻击
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2025-09-30
err0
PREAI
errChicchi, Lorenzo; Fanelli, Duccio; Febbe, Diego; Buffoni, Lorenzo; Di Patti, Francesca; Giambagli, Lorenzo; Marino, Raffaele
err分享
err收藏
Daydreaming Hopfield Networks and their surprising effectiveness on correlated data
errNEURAL NETWORKS
IF6.3
err2025-06-01
err0
errOAAI
errSerricchio, Ludovica; Bocchi, Dario; Chilin, Claudio; Marino, Raffaele; Negri, Matteo; Cammarota, Chiara; Ricci-Tersenghi, Federico
err分享
err收藏
Stable attractors for neural networks classification via ordinary differential equations (SA-nODE)通过常微分方程 (SA节点) 进行神经网络分类的稳定吸引子
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2024-10-01
err0
errOAAI
errMarino, Raffaele; Buffoni, Lorenzo; Chicchi, Lorenzo; Giambagli, Lorenzo; Fanelli, Duccio
err分享
err收藏
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
errSCIENTIFIC REPORTS
IF3.9
err2024-05-21
err3
errOAAI
errAngelini, Maria Chiara; Cavaliere, Angelo Giorgio; Marino, Raffaele; Ricci-Tersenghi, Federico
err分享
err收藏
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2024-01-23
err5
errOAAI
errMarino, Raffaele; Ricci-Tersenghi, Federico
err分享
err收藏
Hard optimization problems have soft edges
errSCIENTIFIC REPORTS
IF3.9
err2023-03-04
err7
errOAAI
errMarino, Raffaele; Kirkpatrick, Scott
err分享
err收藏
Learning from survey propagation: a neural network for MAX-E-3-SAT
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2021-07-14
err7
errOAAI
errMarino, Raffaele
err分享
err收藏
The backtracking survey propagation algorithm for solving random K-SAT problems
errNATURE COMMUNICATIONS
IF15.7
err2016-10-03
err38
errOAAI
errMarino, Raffaele; Parisi, Giorgio; Ricci-Tersenghi, Federico
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
G
Giorgio Parisi
H 指数: 108 · 论文数: 939
S
Scott Kirkpatrick
H 指数: 49 · 论文数: 170
F
Federico Ricci‐Tersenghi
H 指数: 42 · 论文数: 263
D
Duccio Fanelli
H 指数: 33 · 论文数: 298
C
Chiara Cammarota
H 指数: 19 · 论文数: 53
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