Results 221 to 230 of about 48,655 (263)

Joint moment-matching autoencoders

Neural Networks, 2018
Image transformation between multiple domains has become a challenging problem in deep generative networks. This is because, in real-world applications, finding paired images in different domains is an expensive and impractical task. This paper proposes a new model named joint moment-matching autoencoders(JMA). This model learns to perform cross-domain
Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Minho Lee 0001   +2 more
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A Heuristic for Moment-Matching Scenario Generation

Computational Optimization and Applications, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kjetil Høyland, Michal Kaut, Stein W. Wallace   +2 more
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Moment Matching for the Masses

SSRN Electronic Journal, 2006
It is well known that Cholesky decomposition will compress the tails in a multivariate probability mass. With significantly skewed or highly kurtotic distributions, this tail compression can be quite severe. In this paper, a simple methodology is presented to generate multivariate systems matching the first four moments, a desired correlation structure,
Derek R. White, John Okunev
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Generative Moment Matching Networks for Genotype Simulation

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Abstract The generation of synthetic genomic sequences using neural networks has potential to ameliorate privacy and data sharing concerns and to mitigate potential bias within datasets due to under-representation of some population groups.
Maria Perera, Daniel Mas Montserrat, Míriam Barrabés, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis   +5 more
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Moment matching priors

Sankhya A, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ghosh, Malay, Liu, Ruitao
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On a Class of Moment Matching Approximants

IFAC Proceedings Volumes, 1982
Abstract Starting with a Hankel-type matrix of time moments and/or Markov parameters of a linear multivariable system, it is possible to derive reduced-order models which match a maximum number of those parameters. One may then trade-off the degree of matching for other desirable properties, such as eigenvalue matching, or guaranteed stability ...
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Nonlinear Model Reduction by Moment Matching

Foundations and Trends® in Systems and Control, 2017
Mathematical models are at the core of modern science and technology. An accurate description of behaviors, systems and processes often requires the use of complex models which are difficult to analyze and control. To facilitate analysis of and design for complex systems, model reduction theory and tools allow determining “simpler” models which ...
Giordano Scarciotti, Alessandro Astolfi
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Subspace identification with moment matching

Automatica, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Moment Matching Market Implied Calibration

SSRN Electronic Journal, 2012
Abstract This paper provides a new market implied calibration based on a moment matching methodology where the moments of the risk-neutral density function are inferred from at-the-money and out-the-money European vanilla option quotes. In particular, we derive a model-independent risk-neutral formula for the moments of the asset log-return ...
Florence Guillaume, Wim Schoutens
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On moment matching with preservation of passivity and stability

49th IEEE Conference on Decision and Control (CDC), 2010
In this paper, the problem of moment matching with (preservation of) certain properties is tackled. Based on a new approach to linear and nonlinear matching we discuss the choices of interpolation (matching) points such that the resulting families of models have certain properties, namely passivity and stability, useful for modeling and analysis.
Tudor Corneliu Ionescu, Alessandro Astolfi   +1 more
openaire   +1 more source