Cotta, Leonardo

10 publications

TMLR 2026 Bayesian Sensitivity of Causal Inference Estimators Under Evidence-Based Priors Nikita Dhawan, Daniel Shen, Leonardo Cotta, Chris J. Maddison

NeurIPS 2025 Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab Haonan Duan, Stephen Zhewen Lu, Caitlin Fiona Harrigan, Nishkrit Desai, Jiarui Lu, Michał Koziarski, Leonardo Cotta, Chris J. Maddison

TMLR 2025 Test-Time Fairness and Robustness in Large Language Models Leonardo Cotta, Chris J. Maddison

NeurIPS 2024 End-to-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison

ICMLW 2024 End-to-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul Krishnan, Chris J. Maddison

ICMLW 2024 Out-of-Context Prompting Boosts Fairness and Robustness in Large Language Model Predictions Leonardo Cotta, Chris J. Maddison

ICMLW 2024 PAIR: Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations Haonan Duan, Marta Skreta, Leonardo Cotta, Ella Miray Rajaonson, Nikita Dhawan, Alan Aspuru-Guzik, Chris J. Maddison

NeurIPS 2023 Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta, Gal Yehuda, Assaf Schuster, Chris J Maddison

NeurIPS 2021 Reconstruction for Powerful Graph Representations Leonardo Cotta, Christopher Morris, Bruno Ribeiro

NeurIPS 2020 Unsupervised Joint K-Node Graph Representations with Compositional Energy-Based Models Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro