Amauri H. Souza

According to our database, Amauri H. Souza authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

In-n-Out: Calibrating Graph Neural Networks for Link Prediction.

Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza

CoRR, 2024

2023

Going beyond persistent homology using persistent homology.

Johanna Immonen, Amauri H. Souza, Vikas Garg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distill n' Explain: explaining graph neural networks using simple surrogates.

Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza

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

2022

Pattern classification based on regional models.

Rômulo B. P. Drumond, Renan F. Albuquerque, Guilherme A. Barreto, Amauri H. Souza

Appl. Soft Comput., 2022

Provably expressive temporal graph networks.

Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas K. Garg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ConveXplainer for Graph Neural Networks.

Tamara A. Pereira, Erik Jhones F. do Nascimento, Diego Mesquita, Amauri H. Souza

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Procedural Generation of Isometric Racetracks Using Chain Code for Racing Games.

Erik Jhones F. do Nascimento, Tassiana M. Castro, Ana Carolina S. Abreu, Filipe A. Lira, Amauri H. Souza

Proceedings of the 20th Brazilian Symposium on Computer Games and Digital Entertainment, 2021

Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions.

Erik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021