Improving Neural Architecture Search Image Classifiers via Ensemble Learning. - Vladimir Macko; Charles Weill; Hanna Mazzawi; Javier Gonzalvo (CoRR, 2019)

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. - Charles Weill; Javier Gonzalvo; Vitaly Kuznetsov; Scott Yang; Scott Yak; Hanna Mazzawi; Eugen Hotaj; Ghassen Jerfel; Vladimir Macko; Ben Adlam; Mehryar Mohri; Corinna Cortes (CoRR, 2019)

Towards Task and Architecture-Independent Generalization Gap Predictors. - Scott Yak; Javier Gonzalvo; Hanna Mazzawi (CoRR, 2019)

Agnostic Learning with Multiple Objectives. - Corinna Cortes; Mehryar Mohri; Javier Gonzalvo; Dmitry Storcheus (NeurIPS, 2020)

A margin-based multiclass generalization bound via geometric complexity. - Michael Munn; Benoit Dherin; Javier Gonzalvo (TAG-ML, 2023)

Deep Fusion: Efficient Network Training via Pre-trained Initializations. - Hanna Mazzawi; Javier Gonzalvo; Michael Wunder; Sammy Jerome; Benoit Dherin (ICML, 2024)

The Impact of Geometric Complexity on Neural Collapse in Transfer Learning. - Michael Munn; Benoit Dherin; Javier Gonzalvo (NeurIPS, 2024)

Training in reverse: How iteration order influences convergence and stability in deep learning. - Benoit Dherin; Benny Avelin; Anders Karlsson; Hanna Mazzawi; Javier Gonzalvo; Michael Munn (CoRR, 2025)

Learning by solving differential equations. - Benoit Dherin; Michael Munn; Hanna Mazzawi; Michael Wunder; Sourabh Medapati; Javier Gonzalvo (CoRR, 2025)

Learning without training: The implicit dynamics of in-context learning. - Benoit Dherin; Michael Munn; Hanna Mazzawi; Michael Wunder; Javier Gonzalvo (CoRR, 2025)