1. Diffusion representations for fine-grained image classification: a marine plankton case study.
   A. Nieto Juscafresa, Á. Mazcuñán Herreros and J. Sullivan.
   arXiv:2601.13416, 2026.
   [abstract] [PDF]

2. Learning incomplete factorization preconditioners for GMRES.
   P. Häusner, A. Nieto Juscafresa and J. Sjölund.
   Northern Lights Deep Learning Conference (NLDL), PMLR 265:85-99, 2025.
   [proceedings] [arXiv] [code] [slides, PDF, 672K]

3. Graph neural network-based preconditioners for optimizing GMRES.
   A. Nieto Juscafresa.
   Master's thesis, Uppsala University, 2024.
   [thesis] [code] [slides, PDF, 3.3M]

4. An introduction to explainable artificial intelligence with LIME and SHAP.
   A. Nieto Juscafresa.
   Bachelor's thesis, University of Barcelona, 2022.
   [thesis] [code] [slides, PDF, 3.6M]

The full, up-to-date list is on Google Scholar.