On the epistemic limits of personalized prediction L Monteiro Paes, C Long, B Ustun, F Calmon Advances in Neural Information Processing Systems 35, 1979-1991, 2022 | 7 | 2022 |
AmnioML: amniotic fluid segmentation and volume prediction with uncertainty quantification D Csillag, LM Paes, T Ramos, JV Romano, R Schuller, RB Seixas, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15494 …, 2023 | 5 | 2023 |
On the inevitability of the Rashomon effect LM Paes, R Cruz, FP Calmon, M Diaz 2023 IEEE International Symposium on Information Theory (ISIT), 549-554, 2023 | 3 | 2023 |
A novel source-filter stochastic model for voice production E Cataldo, L Monteiro, C Soize Journal of voice 37 (1), 1-8, 2021 | 3 | 2021 |
Multi-Level Explanations for Generative Language Models LM Paes, D Wei, HJ Do, H Strobelt, R Luss, A Dhurandhar, M Nagireddy, ... arXiv preprint arXiv:2403.14459, 2024 | 1 | 2024 |
Word-level explanations for analyzing bias in text-to-image models A Lin, LM Paes, SH Tanneru, S Srinivas, H Lakkaraju arXiv preprint arXiv:2306.05500, 2023 | 1 | 2023 |
Algorithmic Arbitrariness in Content Moderation JF Gomez, C Machado, LM Paes, F Calmon The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2234-2253, 2024 | | 2024 |
Selective Explanations LM Paes, D Wei, FP Calmon arXiv preprint arXiv:2405.19562, 2024 | | 2024 |
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing LM Paes, AT Suresh, A Beutel, FP Calmon, A Beirami IEEE Journal on Selected Areas in Information Theory, 2024 | | 2024 |