Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder. - Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen (CoRR, 2018)

Deep generative models for reject inference in credit scoring. - Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen (Knowl. Based Syst., 2020)

Learning latent representations of bank customers with the Variational Autoencoder. - Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen (Expert Syst. Appl., 2021)

Using multimodal learning and deep generative models for corporate bankruptcy prediction. - Rogelio Andrade Mancisidor (CoRR, 2022)

Generating customer's credit behavior with deep generative models. - Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen (Knowl. Based Syst., 2022)

Discriminative multimodal learning via conditional priors in generative models. - Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen (Neural Networks, 2024)

Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. - Rogelio Andrade Mancisidor; Robert Jenssen; Shujian Yu; Michael Kampffmeyer (CoRR, 2025)