Suchergebnisse - "message-passing algorithms"

Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications von Wei, Li, Huang, Chongwen, Guo, Qinghua, Yang, Zhaohui, Zhang, Zhaoyang, Alexandropoulos, George C., Debbah, Merouane, Yuen, Chau

“… Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks …”
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Disordered systems insights on computational hardness von Gamarnik, David, Moore, Cristopher, Zdeborová, Lenka

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The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing von Bayati, M, Montanari, A

“… "Approximate message passing" (AMP) algorithms have proved to be effective in reconstructing sparse signals from a small number of incoherent linear …”
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(Dis)assortative partitions on random regular graphs von Behrens, Freya, Arpino, Gabriel, Kivva, Yaroslav, Zdeborová, Lenka

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Scalable detection of statistically significant communities and hierarchies, using message passing for modularity von Zhang, Pan, Moore, Cristopher

“… Modularity is a popular measure of community structure. However, maximizing the modularity can lead to many competing partitions, with almost the same …”
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Cross validation in LASSO and its acceleration von Obuchi, Tomoyuki, Kabashima, Yoshiyuki

“… We investigate leave-one-out cross validation (CV) as a determinator of the weight of the penalty term in the least absolute shrinkage and selection operator …”
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High-temperature expansions and message passing algorithms von Maillard, Antoine, Foini, Laura, Castellanos, Alejandro Lage, Krzakala, Florent, Mézard, Marc, Zdeborová, Lenka

“… Improved mean-field techniques are a central theme of statistical physics methods applied to inference and learning. We revisit here some of these methods …”
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Unifying Message Passing Algorithms Under the Framework of Constrained Bethe Free Energy Minimization von Zhang, Dan, Song, Xiaohang, Wang, Wenjin, Fettweis, Gerhard, Gao, Xiqi

“… Variational message passing (VMP), belief propagation (BP) and expectation propagation (EP) have found their wide applications in complex statistical signal …”
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Optimal deployment of resources for maximizing impact in spreading processes von Lokhov, Andrey Y, Saad, David

“… The effective use of limited resources for controlling spreading processes on networks is of prime significance in diverse contexts, ranging from the …”
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Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization von Kabashima, Yoshiyuki, Krzakala, Florent, Mezard, Marc, Sakata, Ayaka, Zdeborova, Lenka

“… We analyze the matrix factorization problem. Given a noisy measurement of a product of two matrices, the problem is to estimate back the original matrices. It …”
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Optimization of the Sherrington-Kirkpatrick Hamiltonian von Montanari, Andrea

“… Let A be a symmetric random matrix with independent and identically distributed Gaussian entries above the diagonal. We consider the problem of maximizing the …”
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Macroscopic Analysis of Vector Approximate Message Passing in a Model-Mismatched Setting von Takahashi, Takashi, Kabashima, Yoshiyuki

“… In this study, macroscopic properties of the vector approximate message passing (VAMP) algorithm for inference of generalized linear models are investigated …”
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Universality laws for Gaussian mixtures in generalized linear models von Dandi, Yatin, Stephan, Ludovic, Krzakala, Florent, Loureiro, Bruno, Zdeborová, Lenka

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Message-passing on hypergraphs: detectability, phase transitions and higher-order information von Ruggeri, Nicolò, Lonardi, Alessandro, De Bacco, Caterina

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The LASSO Risk for Gaussian Matrices von Bayati, M., Montanari, A.

“… We consider the problem of learning a coefficient vector x ο ∈ R N from noisy linear observation y = Ax o + ∈ R n . In many contexts (ranging from model …”
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Probing the latent hierarchical structure of data via diffusion models von Sclocchi, Antonio, Favero, Alessandro, Itzhak Levi, Noam, Wyart, Matthieu

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Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions von Keup, Christian, Zdeborová, Lenka

“… This work explores multi-modal inference in a high-dimensional simplified model, analytically quantifying the performance gain of multi-modal inference over …”
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Universality of Linearized Message Passing for Phase Retrieval With Structured Sensing Matrices von Dudeja, Rishabh, Bakhshizadeh, Milad

“… In the phase retrieval problem one seeks to recover an unknown <inline-formula> <tex-math notation="LaTeX">n </tex-math></inline-formula> dimensional signal …”
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A New Look at Reweighted Message Passing von Kolmogorov, Vladimir

“… We propose a new family of message passing techniques for MAP estimation in graphical models which we call Sequential Reweighted Message Passing (SRMP) …”
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Sparse representations, inference and learning von Lauditi, C, Troiani, E, Mézard, M

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