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Source group · 6 artworks · 1 families

ml artists

Machine-learning artists — Mario Klingemann, Helena Sarin, and the GAN-painter generation.

Path on disk: library_external/ml_artists/

Sample of DeepDream Field (Mike Tyka — AI: DeepDream / Inceptionism)

DeepDream Field (Mike Tyka — AI: DeepDream / Inceptionism)

ml_artists · TykaDeepDreamField

Inspired by Mike Tyka's AI: DeepDream series (2015-) and his co-authorship of 'Inceptionism: Going Deeper into Neural Networks' with Mordvintsev and Olah.

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Sample of GAN Watercolor (Helena Sarin — Neural Bricolage / #latentDoodles)

GAN Watercolor (Helena Sarin — Neural Bricolage / #latentDoodles)

ml_artists · SarinWatercolor

Inspired by Helena Sarin's Neural Bricolage practice (#latentDoodles, GAN Weaver, The Book of veGAN): she trains GANs on her own watercolor paintings and sketches, then curates the output back into analog paintings.

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Sample of Glitch (Mario Klingemann — glitch-print aesthetic)

Glitch (Mario Klingemann — glitch-print aesthetic)

ml_artists · KlingemannGlitch

Klingemann's practice amplifies the visible failure modes of digital pipelines — distorted faces mid-decode, colour-shifted artefacts, rectangular datamosh tears — into the subject matter itself.

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Sample of Memories of Passersby (Mario Klingemann — Memories of Passersby I)

Memories of Passersby (Mario Klingemann — Memories of Passersby I)

ml_artists · KlingemannMemorex

Inspired by Mario Klingemann's Memories of Passersby I (2018, Sotheby's) — a custom GAN trained on 17th–19th-century portraits that runs forever, never repeats an output, and 'observes itself' in a feedback loop.

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Sample of Neural Biodiversity (Sofia Crespo — Neural Zoo / Artificial Natural History)

Neural Biodiversity (Sofia Crespo — Neural Zoo / Artificial Natural History)

ml_artists · CrespoNeuralBiodiversity

Inspired by Sofia Crespo's Neural Zoo (2018-), Artificial Natural History (2019-), and Beneath the Neural Waves (2021): she uses 3D GANs, CNN-based texture synthesis and 3D style transfer to fabricate a 'natural history book that never was' — chimerical creatures whose anatomies recombine fragments of real species.

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Sample of Style Transfer Field (Gene Kogan — ml4a)

Style Transfer Field (Gene Kogan — ml4a)

ml_artists · KoganStyleTransferField

Inspired by Gene Kogan's Experiments with Style Transfer and the ml4a curriculum: neural style transfer iteratively updates an image so its Gram-matrix feature statistics match a style reference — the gradient of the style loss with respect to pixels defines a vector field.

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