Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

1 code implementation • SCIPY 2013 2013 • James Bergstra, Dan Yamins, David D. Cox

Sequential model-based optimization (also known as Bayesian optimization) is one of the most efficient methods (per function evaluation) of function minimization.

Bayesian Optimization BIG-bench Machine Learning +2

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks

1 code implementation • NeurIPS 2021 • Aran Nayebi, Alexander Attinger, Malcolm Campbell, Kiah Hardcastle, Isabel Low, Caitlin Mallory, Gabriel Mel, Ben Sorscher, Alex Williams, Surya Ganguli, Lisa Giocomo, Dan Yamins

Medial entorhinal cortex (MEC) supports a wide range of navigational and memory related behaviors. Well-known experimental results have revealed specialized cell types in MEC --- e. g. grid, border, and head-direction cells --- whose highly stereotypical response profiles are suggestive of the role they might play in supporting MEC functionality.