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Conference and Workshop Papers
- 2023
[c7]Leonardo Cotta, Gal Yehuda, Assaf Schuster, Chris J. Maddison:
Probabilistic Invariant Learning with Randomized Linear Classifiers. NeurIPS 2023- 2022
- [c6]Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov:
The First Learning on Graphs Conference: Preface. LoG 2022: i-xxiii - 2021
- [c5]Leonardo Cotta, Christopher Morris, Bruno Ribeiro:
Reconstruction for Powerful Graph Representations. NeurIPS 2021: 1713-1726 - 2020
- [c4]Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro:
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. NeurIPS 2020 - 2017
- [c3]Leonardo Cotta, Pedro O. S. Vaz de Melo
, Antonio A. F. Loureiro:
Understanding the role of mobility in real mobile ad-hoc networks connectivity. ISCC 2017: 1098-1103 - 2016
- [c2]Leonardo Cotta, Artur Luis Fernandes, Leandro T. C. Melo, Luiz Felipe Z. Saggioro, Frederico Martins, Antonio L. Maia Neto, Antonio A. F. Loureiro, Ítalo S. Cunha, Leonardo B. Oliveira:
NomadiKey: User authentication for smart devices based on nomadic keys. ICC 2016: 1-6 - [c1]Antonio L. Maia Neto, Artur L. F. Souza, Ítalo S. Cunha, Michele Nogueira, Ivan Oliveira Nunes, Leonardo Cotta, Nicolas Gentille, Antonio A. F. Loureiro, Diego F. Aranha, Harsh Kupwade Patil, Leonardo B. Oliveira:
AoT: Authentication and Access Control for the Entire IoT Device Life-Cycle. SenSys 2016: 1-15
Informal and Other Publications
- 2024
- [i7]Leonardo Cotta, Chris J. Maddison:
Out-Of-Context Prompting Boosts Fairness and Robustness in Large Language Model Predictions. CoRR abs/2406.07685 (2024) - [i6]Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison:
End-To-End Causal Effect Estimation from Unstructured Natural Language Data. CoRR abs/2407.07018 (2024) - 2023
- [i5]Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro:
Causal Lifting and Link Prediction. CoRR abs/2302.01198 (2023) - [i4]Leonardo Cotta, Gal Yehuda, Assaf Schuster, Chris J. Maddison:
Probabilistic Invariant Learning with Randomized Linear Classifiers. CoRR abs/2308.04412 (2023) - 2021
- [i3]Leonardo Cotta, Christopher Morris, Bruno Ribeiro:
Reconstruction for Powerful Graph Representations. CoRR abs/2110.00577 (2021) - 2020
- [i2]Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro:
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. CoRR abs/2010.04259 (2020) - 2018
- [i1]Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.:
Graph Pattern Mining and Learning through User-defined Relations (Extended Version). CoRR abs/1809.05241 (2018)
Coauthor Index
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