On the Epistemic Limits of Personalized Prediction. - Lucas Monteiro Paes; Carol Xuan Long; Berk Ustun; Flávio P. Calmon (NeurIPS, 2022)

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. - Daniel Csillag; Lucas Monteiro Paes; Thiago Ramos; João Vitor Romano; Rodrigo Schuller; Roberto de Beauclair Seixas; Roberto I. Oliveira 001; Paulo Orenstein (AAAI, 2023)

On the Inevitability of the Rashomon Effect. - Lucas Monteiro Paes; Rodrigo Cruz; Flávio P. Calmon; Mario Díaz (ISIT, 2023)

Word-Level Explanations for Analyzing Bias in Text-to-Image Models. - Alexander Lin; Lucas Monteiro Paes; Sree Harsha Tanneru; Suraj Srinivas; Himabindu Lakkaraju (CoRR, 2023)

Algorithmic Arbitrariness in Content Moderation. - Juan Felipe Gómez; Caio Vieira Machado; Lucas Monteiro Paes; Flávio P. Calmon (FAccT, 2024)

Multi-Group Proportional Representation in Retrieval. - Alex Oesterling; Claudio Mayrink Verdun; Alexander Glynn; Carol Xuan Long; Lucas Monteiro Paes; Sajani Vithana; Martina Cardone; Flávio P. Calmon (NeurIPS, 2024)

Selective Explanations. - Lucas Monteiro Paes; Dennis Wei; Flávio P. Calmon (NeurIPS, 2024)

Multi-Group Proportional Representation. - Alex Oesterling; Claudio Mayrink Verdun; Carol Xuan Long; Alexander Glynn; Lucas Monteiro Paes; Sajani Vithana; Martina Cardone; Flávio P. Calmon (CoRR, 2024)

Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. - Lucas Monteiro Paes; Ananda Theertha Suresh; Alex Beutel; Flávio P. Calmon; Ahmad Beirami (IEEE J. Sel. Areas Inf. Theory, 2024)

Multi-Level Explanations for Generative Language Models. - Lucas Monteiro Paes; Dennis Wei; Hyo Jin Do; Hendrik Strobelt; Ronny Luss; Amit Dhurandhar; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Werner Geyer; Soumya Ghosh (ACL (1), 2025)

AI Alignment at Your Discretion. - Maarten Buyl; Hadi Khalaf; Claudio Mayrink Verdun; Lucas Monteiro Paes; Caio Cesar Vieira Machado; Flávio du Pin Calmon (FAccT, 2025)