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» Inference for Multiplicative Models
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119
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ACSD
2004
IEEE
124views Hardware» more  ACSD 2004»
15 years 4 months ago
A Behavioral Type Inference System for Compositional System-on-Chip Design
The design productivity gap has been recognized by the semiconductor industry as one of the major threats to the continued growth of system-on-chips and embedded systems. Ad-hoc s...
Jean-Pierre Talpin, David Berner, Sandeep K. Shukl...
96
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NIPS
2004
15 years 2 months ago
Expectation Consistent Free Energies for Approximate Inference
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
Manfred Opper, Ole Winther
134
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PAMI
2010
140views more  PAMI 2010»
14 years 11 months ago
Differential Geometric Inference in Surface Stereo
—Many traditional two-view stereo algorithms explicitly or implicitly use the frontal parallel plane assumption when exploiting contextual information since, e.g., the smoothness...
Gang Li, Steven W. Zucker
ICASSP
2009
IEEE
15 years 7 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
JMLR
2010
192views more  JMLR 2010»
14 years 8 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle