Maria Peifer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Multiresolution Representation

Top Venues

IEEE Trans. Signal Process.

Publications

Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. CoRR (2024)
Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. LREC/COLING (2024)
Maria Peifer, Alejandro Ribeiro
Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. ICASSP (2020)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Sparse Multiresolution Representations With Adaptive Kernels. IEEE Trans. Signal Process. 68 (2020)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. ICASSP (2019)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Sparse multiresolution representations with adaptive kernels. CoRR (2019)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Locally Adaptive Kernel Estimation Using Sparse Functional Programming. ACSSC (2018)