Zobrazeno 1 - 10
of 5 971
pro vyhledávání: '"approximate message passing"'
Autor:
Ivkov, Misha, Schramm, Tselil
We give a fast, spectral procedure for implementing approximate-message passing (AMP) algorithms robustly. For any quadratic optimization problem over symmetric matrices $X$ with independent subgaussian entries, and any separable AMP algorithm $\math
Externí odkaz:
http://arxiv.org/abs/2411.02764
Autor:
Clarté, Lucas, Zdeborová, Lenka
Conformal prediction has emerged as a powerful tool for building prediction intervals that are valid in a distribution-free way. However, its evaluation may be computationally costly, especially in the high-dimensional setting where the dimensionalit
Externí odkaz:
http://arxiv.org/abs/2410.16493
Autor:
Çakmak, Burak, Caire, Giuseppe
Recently, several problems in communication theory have been tackled using approximate message passing (AMP) for matrix-valued noisy linear observations involving \emph{multiple statistically asymmetric signal sources}. These problems assume that the
Externí odkaz:
http://arxiv.org/abs/2410.13021
Quantitative Acoustic Microscopy (QAM) is an imaging technology utilising high frequency ultrasound to produce quantitative two-dimensional (2D) maps of acoustical and mechanical properties of biological tissue at microscopy scale. Increased frequenc
Externí odkaz:
http://arxiv.org/abs/2409.13634
Autor:
Takeuchi, Keigo
This paper addresses the reconstruction of an unknown signal vector with sublinear sparsity from generalized linear measurements. Generalized approximate message-passing (GAMP) is proposed via state evolution in the sublinear sparsity limit, where th
Externí odkaz:
http://arxiv.org/abs/2409.06320
Phase retrieval refers to the problem of recovering a high-dimensional vector $\boldsymbol{x} \in \mathbb{C}^N$ from the magnitude of its linear transform $\boldsymbol{z} = A \boldsymbol{x}$, observed through a noisy channel. To improve the ill-posed
Externí odkaz:
http://arxiv.org/abs/2408.17102
Continuous phase modulation (CPM) has extensive applications in wireless communications due to its high spectral and power efficiency. However, its nonlinear characteristics pose significant challenges for detection in frequency selective fading chan
Externí odkaz:
http://arxiv.org/abs/2408.07385
In this paper, we propose an information geometry (IG) framework to solve the standard linear regression problem. The proposed framework is an extension of the one for computing the mean of complex multivariate Gaussian distribution. By applying the
Externí odkaz:
http://arxiv.org/abs/2408.06907
Autor:
Nandy, Sagnik, Ma, Zongming
The need for multimodal data integration arises naturally when multiple complementary sets of features are measured on the same sample. Under a dependent multifactor model, we develop a fully data-driven orchestrated approximate message passing algor
Externí odkaz:
http://arxiv.org/abs/2407.19030
Approximate message passing (AMP) algorithms are iterative methods for signal recovery in noisy linear systems. In some scenarios, AMP algorithms need to operate within a distributed network. To address this challenge, the distributed extensions of A
Externí odkaz:
http://arxiv.org/abs/2407.17727