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Deconstructing Representation

Research Output:
Non-textual form
2D/3D (psysical products)

Open access

Publication Information

Output type

Research Output:
Non-textual form
2D/3D (psysical products)

Original language

English

Publication milestones

  • Published - 08/11/2019

Publication status

Published - 08/11/2019

Publisher

LOKALE

Abstract

In Deconstructing Representation machine learning is used as an explorative approach to visualise patterns within a dataset of images. Compiling a dataset of Instagram images saved by the artist over time and training a generative adversarial network (GAN) to produce images reminiscent of that dataset, the resulting images show the gradual buildup and breakdown of computational representations and visual affinities.

Related Event

Title

Perpetual Interpreter

Event type

Exhibition

Degree of recognition

International event

Date

08/11/2019 - 24/11/2019

Location

LOKALECopenhagenDenmark