Leonardo Cotta

According to our database, Leonardo Cotta authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors.

Nikita Dhawan, Daniel Shen, Leonardo Cotta, Chris J. Maddison

Trans. Mach. Learn. Res., 2026

2025

Test-Time Fairness and Robustness in Large Language Models.

Leonardo Cotta, Chris J. Maddison

Trans. Mach. Learn. Res., 2025

Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab.

Haonan Duan, Stephen Zhewen Lu, Caitlin F. Harrigan, Nishkrit Desai, Jiarui Lu, Michal Koziarski, Leonardo Cotta, Chris J. Maddison

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Out-Of-Context Prompting Boosts Fairness and Robustness in Large Language Model Predictions.

Leonardo Cotta, Chris J. Maddison

CoRR, 2024

End-To-End Causal Effect Estimation from Unstructured Natural Language Data.

Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Causal Lifting and Link Prediction.

Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro

CoRR, 2023

Probabilistic Invariant Learning with Randomized Linear Classifiers.

Leonardo Cotta, Gal Yehuda, Assaf Schuster, Chris J. Maddison

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The First Learning on Graphs Conference: Preface.

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

Proceedings of the Learning on Graphs Conference, 2022

2021

Reconstruction for Powerful Graph Representations.

Leonardo Cotta, Christopher Morris, Bruno Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models.

Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Graph Pattern Mining and Learning through User-defined Relations (Extended Version).

Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.

CoRR, 2018

2017

Understanding the role of mobility in real mobile ad-hoc networks connectivity.

Leonardo Cotta, Pedro O. S. Vaz de Melo, Antonio A. F. Loureiro

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

2016

AoT: Authentication and Access Control for the Entire IoT Device Life-Cycle.

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

Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

NomadiKey: User authentication for smart devices based on nomadic keys.

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

Proceedings of the 2016 IEEE International Conference on Communications, 2016