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02/13/2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions
Recent approaches build on implicit neural representations (INRs) to pro...
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11/15/2022
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Railway axle maintenance is critical to avoid catastrophic failures. Now...
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07/19/2022
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space
Real-world databases are complex, they usually present redundancy and sh...
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01/13/2022
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease
Machine learning techniques typically applied to dementia forecasting la...
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01/12/2022
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models
We introduce PyHHMM, an object-oriented open-source Python implementatio...
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07/13/2021
Deep Autoregressive Models with Spectral Attention
Time series forecasting is an important problem across many domains, pla...
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03/12/2021
Medical data wrangling with sequential variational autoencoders
Medical data sets are usually corrupted by noise and missing data. These...
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12/15/2020
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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12/04/2020
Boosting offline handwritten text recognition in historical documents with few labeled lines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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06/01/2020
Bayesian Sparse Factor Analysis with Kernelized Observations
Latent variable models for multi-view learning attempt to find low-dimen...
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01/24/2020
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
The Bayesian approach to feature extraction, known as factor analysis (F...
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11/06/2019
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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11/04/2019
Improved BiGAN training with marginal likelihood equalization
We propose a novel training procedure for improving the performance of g...
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10/30/2019
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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10/15/2019
On Generalized LDPC Codes for 5G Ultra Reliable Communication
Generalized low-density parity-check (GLDPC) codes, where single parity-...
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10/15/2019
Probabilistic Time of Arrival Localization
In this paper, we take a new approach for time of arrival geo-localizati...
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10/02/2019
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference
In this paper we explore low-complexity probabilistic algorithms for sof...
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01/28/2019
Out-of-Sample Testing for GANs
We propose a new method to evaluate GANs, namely EvalGAN. EvalGAN relies...
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07/10/2018
Handling Incomplete Heterogeneous Data using VAEs
Variational autoencoders (VAEs), as well as other generative models, hav...
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04/04/2018
