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SPEAKERS/IVAN P. YAMSHCHIKOV
Ivan P. Yamshchikov

Ivan P. Yamshchikov

Max Planck Institute for Mathematics in the Sciences

Ivan P.'s lectures

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Ivan P. Yamshchikov · ICCC'20

Drum Beats and Where To Find Them: Sampling Drum Patterns from a Latent Space

This paper presents a large dataset of drum patterns and compares two different architectures of artificial neural networks that produce latent explorable spaces with some recognizable genre areas. Adversarially constrained autoencoder interpolations (ACAI) show better results in comparison with a standard variational autoencoder. To our knowledge, this is the first application of ACAI to drum-pattern generation.

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Ivan P. Yamshchikov · ICCC'20

Paranoid Transformer: Reading Narrative of Madnessas Computational Approach to Creativity

This papers revisits the receptive theory in context of computational creativity. It presents a case study of a Paranoid Transformer — a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, provide examples of output and discuss the impact of receptive theory, chance discovery and simulation of fringe mental state on the understanding of computational creativity.

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Multiple speakers · ICCC'20

Language and Narrative 2