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Maria Peifer
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2020 – today
- 2024
- [c4]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: 8743-8755 - [i2]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 abs/2403.18667 (2024) - 2020
- [j1]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse Multiresolution Representations With Adaptive Kernels. IEEE Trans. Signal Process. 68: 2031-2044 (2020) - [c3]Maria Peifer, Alejandro Ribeiro:
Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. ICASSP 2020: 4187-4191
2010 – 2019
- 2019
- [c2]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. ICASSP 2019: 3292-3296 - [i1]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse multiresolution representations with adaptive kernels. CoRR abs/1905.02797 (2019) - 2018
- [c1]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Locally Adaptive Kernel Estimation Using Sparse Functional Programming. ACSSC 2018: 2022-2026
Coauthor Index
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