Results 11 to 20 of about 26,431 (256)
Graph neural networks (GNNs) are a powerful inductive bias for modelling algorithmic reasoning procedures and data structures. Their prowess was mainly demonstrated on tasks featuring Markovian dynamics, where querying any associated data structure depends only on its latest state.
Heiko Strathmann +3 more
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The paper proposes a new message passing algorithm for cycle-free factor graphs. The proposed "entropy message passing" (EMP) algorithm may be viewed as sum-product message passing over the entropy semiring, which has previously appeared in automata theory. The primary use of EMP is to compute the entropy of a model.
Velimir M. Ilic +2 more
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Vector Approximate Message Passing [PDF]
The standard linear regression (SLR) problem is to recover a vector $\mathbf{x}^0$ from noisy linear observations $\mathbf{y}=\mathbf{Ax}^0+\mathbf{w}$. The approximate message passing (AMP) algorithm recently proposed by Donoho, Maleki, and Montanari is a computationally efficient iterative approach to SLR that has a remarkable property: for large i.i.
Sundeep Rangan +2 more
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On convergence of approximate message passing [PDF]
5 pages, 3 ...
Caltagirone, Francesco +2 more
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Message passing is a key ingredient of concurrent programming. The purpose of this paper is to describe the equivalence between the proof theory, the categorical semantics, and term calculus of message passing. In order to achieve this we introduce the categorical notion of a linear actegory and the related polycategorical notion of a poly-actegory ...
J. Robin B. Cockett, Craig A. Pastro
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A Message-Passing Interpretation of Adjoint Logic [PDF]
We present a system of session types based on adjoint logic which generalize standard binary session types. Our system allows us to uniformly capture several new behaviors in the space of asynchronous message-passing communication, including multicast ...
Klaas Pruiksma, Frank Pfenning
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In this paper, we proposed a verification method for the message passing behavior of IoT systems by checking the accumulative event relation of process models.
Mohd Anuaruddin Bin Ahmadon +1 more
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Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013)
Vibhav Gogate, Pedro M. Domingos
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Memory Approximate Message Passing [PDF]
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 independent identically distributed (IID) transform matrices, but may become unreliable for other matrix ensembles, especially for ill-conditioned ones.
Lei Liu 0005 +2 more
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Cooperative Localization and Time Synchronization Based on M-VMP Method
Localization estimation and clock synchronization are important research directions in the application of wireless sensor networks. Aiming at the problems of low positioning accuracy and slow convergence speed in localization estimation methods based on ...
Zhongliang Deng +5 more
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