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Conference and Workshop Papers
- 2024
[c4]Juan Felipe Gómez
, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. FAccT 2024: 2234-2253- 2023
- [c3]Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller, Roberto de Beauclair Seixas, Roberto I. Oliveira, Paulo Orenstein:
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. AAAI 2023: 15494-15502 - [c2]Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz:
On the Inevitability of the Rashomon Effect. ISIT 2023: 549-554 - 2022
- [c1]Lucas Monteiro Paes, Carol Xuan Long, Berk Ustun, Flávio P. Calmon:
On the Epistemic Limits of Personalized Prediction. NeurIPS 2022
Informal and Other Publications
- 2024
- [i6]Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. CoRR abs/2402.16979 (2024) - [i5]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:
Multi-Level Explanations for Generative Language Models. CoRR abs/2403.14459 (2024) - [i4]Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon:
Selective Explanations. CoRR abs/2405.19562 (2024) - [i3]Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alex Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon:
Multi-Group Proportional Representation. CoRR abs/2407.08571 (2024) - 2023
- [i2]Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju:
Word-Level Explanations for Analyzing Bias in Text-to-Image Models. CoRR abs/2306.05500 (2023) - [i1]Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami:
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR abs/2312.03867 (2023)
Coauthor Index
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