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Ariel Telpaz

2 accepted papers

2022

From Bottom-Up To Top-Down: Characterization Of Training Process In Gaze Modeling

ICASSP 2022accepted

During training, artificial neural networks might not converge to a global minimum. Usually, using gradient descent, the training procedure cause the network to stroll in the high-dimensional weights’ space. This stroll passes adjacently to local minima and locations in the geometry of loss landscap…

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2019

Information Constrained Control for Visual Detection of Important Areas

ICASSP 2019accepted

In this work, we propose a method for detection of locations with subjective significance in the visual environment using Information Constrained Control (ICC). ICC is a model that takes into consideration not only the goal but also the complexity of the control needed to achieve it, characterized b…

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