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Unsupervised Learning of Global Factors in Deep Generative Models
We present a novel deep generative model based on non i.i.d. variational...
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Boosting offline handwritten text recognition in historical documents with few labeled lines
In this paper, we face the problem of offline handwritten text recogniti...
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Bayesian Sparse Factor Analysis with Kernelized Observations
Latent variable models for multi-view learning attempt to find low-dimen...
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Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
The Bayesian approach to feature extraction, known as factor analysis (F...
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Deep Sequential Models for Suicidal Ideation from Multiple Source Data
This article presents a novel method for predicting suicidal ideation fr...
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Improved BiGAN training with marginal likelihood equalization
We propose a novel training procedure for improving the performance of g...
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Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling
Generalized low-density parity-check (GLDPC) codes are a class of LDPC c...
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On Generalized LDPC Codes for 5G Ultra Reliable Communication
Generalized low-density parity-check (GLDPC) codes, where single parity-...
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Probabilistic Time of Arrival Localization
In this paper, we take a new approach for time of arrival geo-localizati...
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Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference
In this paper we explore low-complexity probabilistic algorithms for sof...
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Out-of-Sample Testing for GANs
We propose a new method to evaluate GANs, namely EvalGAN. EvalGAN relies...
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Handling Incomplete Heterogeneous Data using VAEs
Variational autoencoders (VAEs), as well as other generative models, hav...
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Boosting Handwriting Text Recognition in Small Databases with Transfer Learning
In this paper we deal with the offline handwriting text recognition (HTR...
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