publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. Torchmil: A PyTorch-based library for deep multiple instance learning
    Francisco M. Castro-Macías, Francisco J. Sáez-Maldonado, Pablo Morales-Álvarez, and 1 more author
    Neurocomputing, 2026
    DOI
  2. Bridging the synthetic-to-real gap in single image dehazing
    Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, and 1 more author
    Digital Signal Processing, 2026

2025

  1. Using Variational AutoEncoders for Out of Distribution Detection in Histological Multiple Instance Learning
    Francisco Javier Sáez-Maldonado, Luz Garcı́a, Lee AD Cooper, and 3 more authors
    IEEE Access, 2025
    PDF
  2. Variational Bayesian Dehazing With Atmospheric Scattering Model for Synthetic-to-Real Generalization
    Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, and 1 more author
    In 2025 IEEE International Conference on Image Processing Workshops (ICIPW), 2025
    DOI

2024

  1. Mode Collapse in Variational Deep Gaussian Processes
    Francisco Javier Sáez-Maldonado, Juan Maroñas, and Daniel Hernández-Lobato
    In NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024
    PDF

2023

  1. Deep Transformed Gaussian Processes
    Francisco Javier Sáez-Maldonado, Juan Maroñas, and Daniel Hernández-Lobato
    arXiv preprint arXiv:2310.18230, 2023
    PDF