Leonardo Cotta

💬 About

I’m a postdoc fellow at Vector Institute, where I’m hosted by Chris J. Maddison. I received my PhD degree in computer science at Purdue University, where I was advised by Bruno Ribeiro. Before that —in a distant and happy land— I was a BSc student (also in CS) at UFMG, Brazil. During my time as an undergrad I worked with distributed algorithms (at UFMG) and quantum computing theory (at University of Calgary).

📝 Research

I develop machine learning and causal inference methods for applications in science and healthcare,. My long-term goal is to discover new treatments for diseases with high unmet medical needs and implement intelligent health systems. To this end, my work contributes algorithms and models that can leverage diverse, complex data to discover, evaluate, deliver, and monitor therapeutic and policy interventions.

🗞️ Recent Preprints

• End-To-End Causal Effect Estimation from Unstructured Natural Language Data N Dhawan, L Cotta, K Ullrich, RG Krishnan, CJ Maddison arXiv, 2024

• Out-Of-Context Prompting Boosts Fairness and Robustness in Large Language Model Predictions L Cotta, CJ Maddison arXiv, 2024

• Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations H Duan, M Skreta, L Cotta, EM Rajaonson, N Dhawan, A Aspuru-Guzik, CJ Maddison bioRxiv, 2024

🎓 Selected Publications

For full list and metrics, see Google Scholar.

• Probabilistic Invariant Learning with Randomized Linear Classifiers

  L Cotta, G Yehuda, A Schuster, CJ Maddison

  NeurIPS, 2023

• Causal Lifting and Link Prediction

  L Cotta, B Bevilacqua, N Ahmed, B Ribeiro

  Proceedings of the Royal Society A, 2023

• Reconstruction for Powerful Graph Representations

  L Cotta, C Morris, B Ribeiro

  NeurIPS, 2021

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

  L Cotta, CHC Teixeira, A Swami, B Ribeiro, 2020

  NeurIPS, 2020

• Graph Pattern Mining and Learning through User-defined Relations

  CHC Teixeira, L Cotta, B Ribeiro, W Meira Jr

  ICDM, 2018

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

  AL Maia Neto, ALF Souza, Í Cunha, M Nogueira, IO Nunes, L Cotta, N Gentille, AAF Loureiro, DF Aranha, HK Patil, LB Oliveira

  ACM SenSys, 2016