Search Results - "Banarse, Dylan"

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  1. 1

    The origin and function of external representations by Fernando, Chrisantha, Osindero, Simon, Banarse, Dylan

    Published in Adaptive behavior (01-12-2024)
    “…External representations (ERs) are objects or performances in the world whose proper function is to communicate about other things in the world. Why and how…”
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    Journal Article
  2. 2

    Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution by Fernando, Chrisantha, Banarse, Dylan, Michalewski, Henryk, Osindero, Simon, Rocktäschel, Tim

    Published 28-09-2023
    “…Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the reasoning abilities of Large Language Models (LLMs) in various domains…”
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    Journal Article
  3. 3

    CLIP-CLOP: CLIP-Guided Collage and Photomontage by Mirowski, Piotr, Banarse, Dylan, Malinowski, Mateusz, Osindero, Simon, Fernando, Chrisantha

    Published 06-05-2022
    “…The unabated mystique of large-scale neural networks, such as the CLIP dual image-and-text encoder, popularized automatically generated art. Increasingly more…”
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    Journal Article
  4. 4

    Generative Art Using Neural Visual Grammars and Dual Encoders by Fernando, Chrisantha, Eslami, S. M. Ali, Alayrac, Jean-Baptiste, Mirowski, Piotr, Banarse, Dylan, Osindero, Simon

    Published 01-05-2021
    “…Whilst there are perhaps only a few scientific methods, there seem to be almost as many artistic methods as there are artists. Artistic processes appear to…”
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    Journal Article
  5. 5
  6. 6

    Convolution by Evolution: Differentiable Pattern Producing Networks by Fernando, Chrisantha, Banarse, Dylan, Reynolds, Malcolm, Besse, Frederic, Pfau, David, Jaderberg, Max, Lanctot, Marc, Wierstra, Daan

    Published 08-06-2016
    “…In this work we introduce a differentiable version of the Compositional Pattern Producing Network, called the DPPN. Unlike a standard CPPN, the topology of a…”
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    Journal Article
  7. 7

    PathNet: Evolution Channels Gradient Descent in Super Neural Networks by Fernando, Chrisantha, Banarse, Dylan, Blundell, Charles, Zwols, Yori, Ha, David, Rusu, Andrei A, Pritzel, Alexander, Wierstra, Daan

    Published 30-01-2017
    “…For artificial general intelligence (AGI) it would be efficient if multiple users trained the same giant neural network, permitting parameter reuse, without…”
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    Journal Article