Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions. However, AMP only applies to the independent identically distributed (IID) transform matrices, but may become unreliable for other matrix ...
Compressed sensing with approximate message passing using in-memory computing. IEEE Trans. Electron Devices 65, 4304–4312 (2018). Google Scholar Cai, F. et al. Harnessing intrinsic noise in memristor hopfield neural networks for combinatorial optimization. Preprint at https://arxiv.org/abs/...
Compressed sensing with approximate message passing using in-memory computing. IEEE Trans. Electron Devices 65, 4304–4312 (2018). Article Google Scholar Krizhevsky, A. Learning Multiple Layers of Features from Tiny Images. Tech. Rep. (2009). Marcus, M. P., Santorini, B. & Marcinkiewicz,...
Approximate message passing algorithms for compressed sensing 热度: 22-LOGICAL MESSAGE PASSING NETWORKS WITH 热度: Shared Memory vs Message Passing ∗ Carole Delporte-Gallet Hugues Fauconnier Rachid Guerraoui December 2, 2003 Abstract This paper determines the computational strenght of the shared mem- ...
The transformation is only approximate and the method requires iteration to achieve an accurate solution, but is usually much faster than the linear programming transformation introduced in the previous section. (We will return to the issue of choosing between methods at the end of this section.) ...
In this paper, we propose a new method for fast and robust compressed sensing (CS) of sparse signals with approximate message passing recovery using in-memory computing. The measurement matrix for CS is encoded in the conductance states of resistive memory devices organized in a crossbar array....
simply replace it with a sum operation. Be sure to include all the parameters read from memory into the final output or the compiler will remove the apparently redundant memory reads/writes. Retime the execution of the kernel and you will see the approximate percentage of time that was spent...
Buffers as Set of Updates.What would then be a simple and still sound approximation? A simple idea to get rid of multiple copies of a same commit in a buffer is to approximate the buffer with a set of updates. This amounts to consider those axiomsUsthat make the\(\bullet \)operation ...
This scheme can be used to derive belief updates for each factor of the approximate posterior, and used to map out the connections (i.e., message passing) between different populations of neurons encoding the unknown variables (i.e., hidden states and policies). The results of this mapping ...
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems. A key feature of the AMP-type algorithms is that their dynamics can be correctly described by state evolution. While state evolution is a useful analytic ...