Mateos, Gonzalo

9 publications

TMLR 2025 LASE: Learned Adjacency Spectral Embeddings María Sofía Pérez Casulo, Marcelo Fiori, Federico Larroca, Gonzalo Mateos

TMLR 2025 Stabilizing the Kumaraswamy Distribution Max Wasserman, Gonzalo Mateos

ICLR 2024 CoLiDE: Concomitant Linear DAG Estimation Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper

TMLR 2024 Graph Structure Learning with Interpretable Bayesian Neural Networks Max Wasserman, Gonzalo Mateos

NeurIPS 2023 Explainable Brain Age Prediction Using coVariance Neural Networks Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

TMLR 2023 Learning Graph Structure from Convolutional Mixtures Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro

NeurIPS 2022 coVariance Neural Networks Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

NeurIPSW 2022 pyGSL: A Graph Structure Learning Toolkit Max Wasserman, Gonzalo Mateos

ECML-PKDD 2014 Beyond Blocks: Hyperbolic Community Detection Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos