activity
20142026
most citedAlgorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration

21 citations · 31 across the 10 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.AI20242 cited

Collective Innovation in Groups of Large Language Models

Eleni Nisioti, Sebastian Risi, Ida Momennejad +2

Human culture relies on collective innovation: our ability to continuously explore how existing elements in our environment can be combined to create new ones. Language is hypothes…

cs.NE2024

Meta-Learning an Evolvable Developmental Encoding

Milton L. Montero, Erwan Plantec, Eleni Nisioti +2

Representations for black-box optimisation methods (such as evolutionary algorithms) are traditionally constructed using a delicate manual process. This is in contrast to the repre…

cs.NE2024

From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models

Eleni Nisioti, Claire Glanois, Elias Najarro +7

Large Language Models (LLMs) have taken the field of AI by storm, but their adoption in the field of Artificial Life (ALife) has been, so far, relatively reserved. In this work we…

cs.NE2024

Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning

Erwan Plantec, Joachin W. Pedersen, Milton L. Montero +2

Biological neural networks are characterized by their high degree of plasticity, a core property that enables the remarkable adaptability of natural organisms. Importantly, this ab…

cs.HC202421 cited

Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration

Louie Søs Meyer, Johanne Engel Aaen, Anitamalina Regitse Tranberg +4

This Research through Design paper explores how object detection may be applied to a large digital art museum collection to facilitate new ways of encountering and experiencing art…