Kat Agres
Cited by
Cited by
Information‐Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory
K Agres, S Abdallah, M Pearce
Cognitive Science, 1-34, 2017
Evaluation of musical creativity and musical metacreation systems
K Agres, J Forth, GA Wiggins
Computers in Entertainment (CIE) 14 (3), 1-33, 2016
From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation
S McGregor, K Agres, M Purver, G & Wiggins
Journal of Artificial General Intelligence 6 (1), 55–86, 2015
Musical expectancy: The influence of musical structure on emotional response
CL Krumhansl, KR Agres
Behavioral and Brain Sciences 31 (5), 584, 2008
Musical change deafness: The inability to detect change in a non-speech auditory domain
KR Agres, CL Krumhansl
Proceedings of the 30th annual conference of the cognitive science society …, 2008
Meta4meaning: Automatic metaphor interpretation using corpus-derived word associations
P Xiao, K Alnajjar, M Granroth-Wilding, K Agres, H Toivonen
Proceedings of the Seventh International Conference on Computational Creativity, 2016
Entraining IDyOT: timing in the information dynamics of thinking
J Forth, K Agres, M Purver, GA Wiggins
Frontiers in psychology 7, 1575, 2016
Modeling metaphor perception with distributional semantics vector space models.
KR Agres, S McGregor, K Rataj, M Purver, GA Wiggins
C3GI@ ESSLLI, 2016
Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces.
K Agres, S McGregor, M Purver, GA Wiggins
ICCC, 118-125, 2015
Mixed-curvature Variational Autoencoders
O Skopek, OE Ganea, G Bécigneul
arXiv preprint arXiv:1911.08411, 2019
Learning disentangled representations of timbre and pitch for musical instrument sounds using gaussian mixture variational autoencoders
YJ Luo, K Agres, D Herremans
arXiv preprint arXiv:1906.08152, 2019
Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music
K Agres, D Herremans, L Bigo, D Conklin
Frontiers in Psychology: Cognitive Science 7, 2017
A closed-loop, music-based brain-computer interface for emotion mediation
SK Ehrlich, KR Agres, C Guan, G Cheng
PloS one 14 (3), e0213516, 2019
Singing voice conversion with disentangled representations of singer and vocal technique using variational autoencoders
YJ Luo, CC Hsu, K Agres, D Herremans
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Probabilistic segmentation of musical sequences using restricted Boltzmann machines
S Lattner, M Grachten, K Agres, CEC Chacón
International Conference on Mathematics and Computation in Music, 323-334, 2015
Intelligibility of Sung Lyrics: A Pilot Study.
KM Ibrahim, D Grunberg, K Agres, C Gupta, Y Wang
ISMIR, 686-693, 2017
The sparsity of simple recurrent networks in musical structure learning
KR Agres, JE DeLong, M Spivey
Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009
An Information-Theoretic Account of Musical Expectation and Memory
K Agres, S Abdallah, M Pearce
Proceedings of the 35th Annual Conference of the Cognitive Science Society …, 2013
From context to concept: exploring semantic relationships in music with word2vec
CH Chuan, K Agres, D Herremans
Neural Computing and Applications 32 (4), 1023-1036, 2020
From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models
C Cancino-Chacón, M Grachten, K Agres
arXiv preprint arXiv:1707.06231, 2017
The system can't perform the operation now. Try again later.
Articles 1–20