Search Results for author: Yehonatan Avidan

Found 2 papers, 0 papers with code

Connecting NTK and NNGP: A Unified Theoretical Framework for Neural Network Learning Dynamics in the Kernel Regime

no code implementations8 Sep 2023 Yehonatan Avidan, Qianyi Li, Haim Sompolinsky

In this regime, two disparate theoretical frameworks have been used, in which the network's output is described using kernels: one framework is based on the Neural Tangent Kernel (NTK) which assumes linearized gradient descent dynamics, while the Neural Network Gaussian Process (NNGP) kernel assumes a Bayesian framework.

Naive Artificial Intelligence

no code implementations4 Sep 2020 Tomer Barak, Yehonatan Avidan, Yonatan Loewenstein

Finally, we propose that the computational principles underlying our approach can be used to model fluid intelligence in the cognitive sciences.

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