Daniel Csillag

According to our database, Daniel Csillag authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Avoid What You Know: Divergent Trajectory Balance for GFlowNets.

Pedro Dall'Antonia, Tiago da Silva, Daniel Csillag, Salem Lahlou, Diego Mesquita

CoRR, February, 2026

2025

Adaptive Training of INRs via Pruning and Densification.

Diana Aldana, João Paulo Lima, Daniel Csillag, Daniel Perazzo, Haoan Feng, Luiz Velho, Tiago Novello

CoRR, October, 2025

Differentially Private E-Values.

Daniel Csillag, Diego Mesquita

CoRR, October, 2025

Extending Prediction-Powered Inference through Conformal Prediction.

Daniel Csillag, Pedro Dall'Antonia, Cláudio José Struchiner, Guilherme Tegoni Goedert

CoRR, October, 2025

Image Super-Resolution with Guarantees via Conformal Generative Models.

Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert

CoRR, February, 2025

Image Super-Resolution with Guarantees via Conformalized Generative Models.

Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Prediction-Powered E-Values.

Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Strategic Conformal Prediction.

Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis.

Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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, Paulo Orenstein

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics.

Daniel Csillag, Carolina Piazza, Thiago Ramos, João Vitor Romano, Roberto I. Oliveira, Paulo Orenstein

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022