Thiago R. Ramos

According to our database, Thiago R. Ramos authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Conformal Prediction via Transported Beta Laws.

Thiago R. Ramos, Helton Graziadei, Luben M. C. Cabezas

CoRR, May, 2026

LOCUS: A Distribution-Free Loss-Quantile Score for Risk-Aware Predictions.

Matheus Barreto, Mário de Castro, Thiago R. Ramos, Denis Valle, Rafael Izbicki

CoRR, March, 2026

LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees.

Vagner S. Santos, Victor Coscrato, Luben M. C. Cabezas, Rafael Izbicki, Thiago R. Ramos

CoRR, February, 2026

Conformal Calibration of Statistical Confidence Sets.

Luben M. C. Cabezas, Guilherme Soares, Thiago R. Ramos, Rafael Bassi Stern, Rafael Izbicki

Trans. Mach. Learn. Res., 2026

2025

Conformal Prediction for Compositional Data.

Lucas P. Amaral, Luben M. C. Cabezas, Thiago R. Ramos, Gustavo H. G. A. Pereira

CoRR, November, 2025

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference.

Luben M. C. Cabezas, Vagner S. Santos, Thiago R. Ramos, Pedro L. C. Rodrigues, Rafael Izbicki

CoRR, August, 2025

Epistemic Uncertainty in Conformal Scores: A Unified Approach.

Luben M. C. Cabezas, Vagner S. Santos, Thiago R. Ramos, Rafael Izbicki

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification.

Alek Fröhlich, Thiago R. Ramos, Gustavo Motta Cabello Dos Santos, Isabela Panzeri Carlotti Buzatto, Rafael Izbicki, Daniel Guimarães Tiezzi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification.

Alek Fröhlich, Thiago R. Ramos, Gustavo Cabello, Isabela Buzatto, Rafael Izbicki, Daniel Guimarães Tiezzi

CoRR, 2024