A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases. - Angel Kuri-Morales; Javier Sagastuy-Breña (MCPR, 2017)

Two Routes to Scalable Credit Assignment without Weight Symmetry. - Daniel Kunin; Aran Nayebi; Javier Sagastuy-Breña; Surya Ganguli; Jonathan M. Bloom; Daniel Yamins (ICML, 2020)

Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics. - Daniel Kunin; Javier Sagastuy-Breña; Surya Ganguli; Daniel L. K. Yamins; Hidenori Tanaka (ICLR, 2021)

Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion. - Daniel Kunin; Javier Sagastuy-Breña; Lauren E. Gillespie; Eshed Margalit; Hidenori Tanaka; Surya Ganguli; Daniel L. K. Yamins (CoRR, 2021)

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)

The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion. - Daniel Kunin; Javier Sagastuy-Breña; Lauren E. Gillespie; Eshed Margalit; Hidenori Tanaka; Surya Ganguli; Daniel L. K. Yamins (Neural Comput., 2024)