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Pattern discovery algorithms in the music domain aim to find meaningful components in musical compositions. Over the years, although many algorithms have been developed for pattern discovery in music data, it remains a challenging task. To…

Sound · Computer Science 2020-10-26 Iris Ren , Anja Volk , Wouter Swierstra , Remco C. Veltkamp

Compositionality is a hallmark of human language that not only enables linguistic generalization, but also potentially facilitates acquisition. When simulating language emergence with neural networks, compositionality has been shown to…

Computation and Language · Computer Science 2023-05-23 Emily Cheng , Mathieu Rita , Thierry Poibeau

While color harmony has long been studied in art and design, a clear consensus remains elusive, as most models are grounded in qualitative insights or limited datasets. In this work, we present a quantitative, data-driven study of color…

Human-Computer Interaction · Computer Science 2025-11-06 Ortensia Forni , Alexandre Darmon , Michael Benzaquen

In classical music and in any genre of contemporary music, the tonal elements or notes used for playing are the same. The numerous possibilities of chords for a given instance in a piece make the playing, in general, very intricate, and…

Sound · Computer Science 2022-06-14 Steve Mathew D A

How can we build recommender systems to take into account fairness? Real-world recommender systems are often composed of multiple models, built by multiple teams. However, most research on fairness focuses on improving fairness in a single…

Machine Learning · Computer Science 2021-01-27 Xuezhi Wang , Nithum Thain , Anu Sinha , Flavien Prost , Ed H. Chi , Jilin Chen , Alex Beutel

We explain how the prototype automatic chess problem composer, Chesthetica, successfully composed a rare and interesting chess problem using the new Digital Synaptic Neural Substrate (DSNS) computational creativity approach. This problem…

Artificial Intelligence · Computer Science 2017-09-05 Azlan Iqbal

Compositional generalization--understanding unseen combinations of seen primitives--is an essential reasoning capability in human intelligence. The AI community mainly studies this capability by fine-tuning neural networks on lots of…

Computation and Language · Computer Science 2023-06-12 Shengnan An , Zeqi Lin , Qiang Fu , Bei Chen , Nanning Zheng , Jian-Guang Lou , Dongmei Zhang

A common form of competition is one where judges grade contestants' performances which are then compiled to determine the final ranking of the contestants. Unlike in another common form of competition where two contestants play a…

Physics and Society · Physics 2016-08-09 Gyuhyeon Jeon , Juyong Park

Computational aesthetics evaluation has made great achievements in the field of visual arts, but the research work on music still needs to be explored. Although the existing work of music generation is very substantial, the quality of music…

Sound · Computer Science 2023-01-18 Xin Jin , Wu Zhou , Jinyu Wang , Duo Xu , Yiqing Rong , Shuai Cui

The rapid advancement of Generative AI has raised significant questions regarding its ability to produce creative and novel outputs. Our recent work investigates this question within the domain of chess puzzles and presents an AI system…

Modern chess engines significantly outperform human players and are essential for evaluating positions and move quality. These engines assign a numerical evaluation $E$ to positions, indicating an advantage for either white or black, but…

Physics and Society · Physics 2025-05-07 Marc Barthelemy

Reasoning is not just about solving problems -- it is also about evaluating which problems are worth solving at all. Evaluations of artificial intelligence (AI) systems primarily focused on problem solving, historically by studying how…

Infinite chess is chess played on an infinite edgeless chessboard. The familiar chess pieces move about according to their usual chess rules, and each player strives to place the opposing king into checkmate. The mate-in-n problem of…

Logic · Mathematics 2012-05-17 Dan Brumleve , Joel David Hamkins , Philipp Schlicht

Compositionality has traditionally been understood as a major factor in productivity of language and, more broadly, human cognition. Yet, recently, some research started to question its status, showing that artificial neural networks are…

Computation and Language · Computer Science 2022-06-13 Michal Auersperger , Pavel Pecina

A well-designed document communicates not only through its words but also through its visual eloquence. Authors utilize aesthetic elements such as colors, fonts, graphics, and layouts to shape the perception of information. Thoughtful…

Artificial Intelligence · Computer Science 2024-03-28 Hsiu-Wei Yang , Abhinav Agrawal , Pavlos Fragkogiannis , Shubham Nitin Mulay

Research on how humans perceive aesthetics in shapes, colours, and music has predominantly focused on Western populations, limiting our understanding of how cultural environments shape aesthetic preferences. We present a large-scale…

Multimedia · Computer Science 2025-05-12 Harin Lee , Eline Van Geert , Elif Celen , Raja Marjieh , Pol van Rijn , Minsu Park , Nori Jacoby

Computational aesthetic evaluation has made remarkable contribution to visual art works, but its application to music is still rare. Currently, subjective evaluation is still the most effective form of evaluating artistic works. However,…

Computer Vision and Pattern Recognition · Computer Science 2024-02-14 Xin Jin , Wu Zhou , Jingyu Wang , Duo Xu , Yongsen Zheng

In the fields of Experimental and Computational Aesthetics, numerous image datasets have been created over the last two decades. In the present work, we provide a comparative overview of twelve image datasets that include aesthetic ratings…

Computer Vision and Pattern Recognition · Computer Science 2023-07-04 Ralf Bartho , Katja Thoemmes , Christoph Redies

Repetition, a basic form of artistic creation, appears in most musical works and delivers enthralling aesthetic experiences.

Multimedia · Computer Science 2022-09-26 Zhejing Hu , Xiao Ma , Yan Liu , Gong Chen , Yongxu Liu

This paper proves that arrangement of music is NP-hard when subject to various constraints: avoiding musical dissonance, limiting how many notes can be played simultaneously, and limiting transition speed between chords. These results imply…

Computational Complexity · Computer Science 2016-07-15 William S. Moses , Erik D. Demaine