3 citations · 7 across the 6 of their papers we have counts for
7 papers
Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
Zheming Xu, Aiyue Tang, Shidi Chen +4
Incomplete multi-view clustering (IMVC) aims to uncover shared cluster structures from data with partially observed views. Although recent imputation-free methods based on variatio…
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Rogelio A Mancisidor, Robert Jenssen, Shujian Yu +1
Multimodal learning with variational autoencoders (VAEs) requires estimating joint distributions to evaluate the evidence lower bound (ELBO). Current methods, the product and mixtu…
Multimodal Generative Models for Bankruptcy Prediction Using Textual Data
Rogelio A. Mancisidor, Kjersti Aas
Textual data from financial filings, e.g., the Management's Discussion & Analysis (MDA) section in Form 10-K, has been used to improve the prediction accuracy of bankruptcy models.…
Discriminative Multimodal Learning via Conditional Priors in Generative Models
Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas +1
Deep generative models with latent variables have been used lately to learn joint representations and generative processes from multi-modal data. These two learning mechanisms can,…
Deep Generative Models for Reject Inference in Credit Scoring
Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas +1
Credit scoring models based on accepted applications may be biased and their consequences can have a statistical and economic impact. Reject inference is the process of attempting…
Learning Latent Representations of Bank Customers With The Variational Autoencoder
Rogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas +1
Learning data representations that reflect the customers' creditworthiness can improve marketing campaigns, customer relationship management, data and process management or the cre…
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas +1
Identifying customer segments in retail banking portfolios with different risk profiles can improve the accuracy of credit scoring. The Variational Autoencoder (VAE) has shown prom…