Javier Sagastuy-Breña

According to our database, Javier Sagastuy-Breña authored at least 6 papers between 2017 and 2024.

Collaborative distances:

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

2024

The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion.

Daniel Kunin, Javier Sagastuy-Breña, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins

Neural Comput., January, 2024

2022

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition.

Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins

Neural Comput., 2022

2021

Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion.

Daniel Kunin, Javier Sagastuy-Breña, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins

CoRR, 2021

Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics.

Daniel Kunin, Javier Sagastuy-Breña, Surya Ganguli, Daniel L. K. Yamins, Hidenori Tanaka

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Two Routes to Scalable Credit Assignment without Weight Symmetry.

Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña, Surya Ganguli, Jonathan M. Bloom, Daniel Yamins

Proceedings of the 37th International Conference on Machine Learning, 2020

2017

A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases.

Angel Kuri-Morales, Javier Sagastuy-Breña

Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017