Javier Gonzalvo

According to our database, Javier Gonzalvo authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

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, February, 2025

2024

The Impact of Geometric Complexity on Neural Collapse in Transfer Learning.

Michael Munn, Benoit Dherin, Javier Gonzalvo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Deep Fusion: Efficient Network Training via Pre-trained Initializations.

Hanna Mazzawi, Javier Gonzalvo, Michael Wunder, Sammy Jerome, Benoit Dherin

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

2023

A margin-based multiclass generalization bound via geometric complexity.

Michael Munn, Benoit Dherin, Javier Gonzalvo

Proceedings of the Topological, 2023

2020

Agnostic Learning with Multiple Objectives.

Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus

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

2019

Towards Task and Architecture-Independent Generalization Gap Predictors.

Scott Yak, Javier Gonzalvo, Hanna Mazzawi

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

Improving Neural Architecture Search Image Classifiers via Ensemble Learning.

Vladimir Macko, Charles Weill, Hanna Mazzawi, Javier Gonzalvo

CoRR, 2019