Alvaro Henrique Chaim Correia

According to our database, Alvaro Henrique Chaim Correia authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models.

Mingyu Cao, Alvaro H. C. Correia, Christos Louizos, Shiwei Liu, Lu Yin

CoRR, February, 2026

2025

Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models.

Julianna Piskorz, Cristina Pinneri, Alvaro H. C. Correia, Motasem Alfarra, Risheek Garrepalli, Christos Louizos

CoRR, November, 2025

Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction.

Arash Behboodi, Alvaro H. C. Correia, Fabio Valerio Massoli, Christos Louizos

CoRR, September, 2025

Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data.

Alvaro H. C. Correia, Christos Louizos

CoRR, July, 2025

Test-Time Adaptation with Source Based Auxiliary Tasks.

Motasem Alfarra, Alvaro H. C. Correia, Bernard Ghanem, Christos Louizos

Trans. Mach. Learn. Res., 2025

Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data.

Alvaro H. C. Correia, Christos Louizos

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

Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence.

Dharmesh Tailor, Alvaro H. C. Correia, Eric T. Nalisnick, Christos Louizos

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

An Information Theoretic Perspective on Conformal Prediction.

Alvaro H. C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Neural Simulated Annealing.

Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Continuous Mixtures of Tractable Probabilistic Models.

Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz

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

2020

Towards Robust Classification with Deep Generative Forests.

Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos

CoRR, 2020

Joints in Random Forests.

Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Pruning for Score-Based Bayesian Network Structure Learning.

Alvaro Henrique Chaim Correia, James Cussens, Cassio P. de Campos

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Towards Scalable and Robust Sum-Product Networks.

Alvaro H. C. Correia, Cassio P. de Campos

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

An Experimental Study of Prior Dependence in Bayesian Network Structure Learning.

Alvaro Henrique Chaim Correia, Cassio P. de Campos, Linda C. van der Gaag

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Human-in-the-Loop Feature Selection.

Alvaro H. C. Correia, Freddy Lécué

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach.

Arthur Colombini Gusmão, Alvaro Henrique Chaim Correia, Glauber De Bona, Fábio Gagliardi Cozman

CoRR, 2018

A Fully Attention-Based Information Retriever.

Alvaro Henrique Chaim Correia, Jorge Luiz Moreira Silva, Thiago de Castro Martins, Fábio Gagliardi Cozman

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018