Locally Adaptive Kernel Estimation Using Sparse Functional Programming. - Maria Peifer; Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (ACSSC, 2018)

Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. - Maria Peifer; Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (ICASSP, 2019)

Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. - Maria Peifer; Alejandro Ribeiro (ICASSP, 2020)

Sparse Multiresolution Representations With Adaptive Kernels. - Maria Peifer; Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. - Yejin Kim; Scott Rome; Kevin Foley; Mayur Nankani; Rimon Melamed; Javier Morales; Abhay Yadav; Maria Peifer; Sardar Hamidian; H. Howie Huang (LREC/COLING, 2024)