Mohammadjavad Faraji

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Related publications (5)

Balancing New against Old Information: The Role of Puzzlement Surprise in Learning

Wulfram Gerstner, Mohammadjavad Faraji, Kerstin Preuschoff

2018

A Multiscale Pyramid Transform for Graph Signals

Pierre Vandergheynst, Mohammadjavad Faraji, David Shuman

Multiscale transforms designed to process analog and discrete-time signals and images cannot be directly applied to analyze high-dimensional data residing on the vertices of a weighted graph, as they do not capture the intrinsic topology of the graph data ...

Institute of Electrical and Electronics Engineers2016

Learning with Surprise : Theory and Applications

Mohammadjavad Faraji

Everybody knows what it feels to be surprised. Surprise raises our attention and is crucial for learning. It is a ubiquitous concept whose traces have been found in both neuroscience and machine learning. However, a comprehensive theory has not yet been de ...

EPFL2016

A biologically plausible 3-factor learning rule for expectation maximization in reinforcement learning and decision making

Wulfram Gerstner, Mohammadjavad Faraji, Kerstin Preuschoff

2015

Semi-Supervised Learning with Spectral Graph Wavelets

Pierre Vandergheynst, Mohammadjavad Faraji, David Shuman

We consider the transductive learning problem when the labels belong to a continuous space. Through the use of spectral graph wavelets, we explore the benefits of multiresolution analysis on a graph constructed from the labeled and unlabeled data. The spec ...

2011

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