Search Results for author: Piotr Aleksander Sokol

Found 3 papers, 1 papers with code

On 1/n neural representation and robustness

1 code implementation NeurIPS 2020 Josue Nassar, Piotr Aleksander Sokol, SueYeon Chung, Kenneth D. Harris, Il Memming Park

In this work, we investigate the latter by juxtaposing experimental results regarding the covariance spectrum of neural representations in the mouse V1 (Stringer et al) with artificial neural networks.

Adversarial Robustness

Gated recurrent units viewed through the lens of continuous time dynamical systems

no code implementations3 Jun 2019 Ian D. Jordan, Piotr Aleksander Sokol, Il Memming Park

As a result, it is both difficult to know a priori how successful a GRU network will perform on a given task, and also their capacity to mimic the underlying behavior of their biological counterparts.

The Expressive Power of Gated Recurrent Units as a Continuous Dynamical System

no code implementations ICLR 2019 Ian D. Jordan, Piotr Aleksander Sokol, Il Memming Park

Gated recurrent units (GRUs) were inspired by the common gated recurrent unit, long short-term memory (LSTM), as a means of capturing temporal structure with less complex memory unit architecture.

Time Series Time Series Prediction

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