Kat Agres

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	All	Since 2015
Citations	312	282
h-index	10	10
i10-index	12	12

100

2009201020112012201320142015201620172018201920202 6 4 5 6 5 9 23 34 54 57 97

Co-authors

Dorien HerremansSingapore University of Technology and DesignVerified email at sutd.edu.sg
Geraint WigginsProfessor of Computational Creativity, Vrije Universiteit Brussel / Queen Mary University of LondonVerified email at vub.ac.be
Matthew PurverQueen Mary University of London / Jožef Stefan InstituteVerified email at qmul.ac.uk
Jamie ForthGoldsmiths, University of LondonVerified email at gold.ac.uk
Carlos Eduardo Cancino-ChacónAustrian Research Institute for Artificial IntelligenceVerified email at ofai.at
Maarten GrachtenIndependent Machine Learning ConsultantVerified email at ofai.at
Carol Lynne KrumhanslCornell UniversityVerified email at cornell.edu
Marcus PearceSenior Lecturer in Sound and Music Processing, Queen Mary University of LondonVerified email at qmul.ac.uk
Samer AbdallahJukedeck LimitedVerified email at jukedeck.com
Yin-Jyun LuoQueen Mary University of LondonVerified email at qmul.ac.uk
Stefan LattnerSony CSL, ParisVerified email at stefanlattner.at
Kin Wai CheukSUTDVerified email at connect.hku.hk
Karolina RatajFaculty of English, Adam Mickiewicz University in PoznańVerified email at wa.amu.edu.pl
Cuntai GuanProfessor, Nanyang Technological University (NTU), Singapore; IEEE FellowVerified email at ntu.edu.sg
Michael J. SpiveyProfessor of Cognitive Science, University of California, MercedVerified email at ucmerced.edu
Mark Granroth-WildingUniversity of HelsinkiVerified email at granroth-wilding.co.uk
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at cs.helsinki.fi
Ping XiaoComputer Science Department, University of HelsinkiVerified email at helsinki.fi
Jordan DeLongDirector of Data Science and Product Innovation, Research NarrativeVerified email at researchnarrative.com
Spencer TopelPhysical SynthesisVerified email at physical-synthesis.com

Kat Agres

National University of Singapore

Verified email at nus.edu.sg - Homepage

Music Perception and Cognition Music & Medicine Statistical Learning Computational modelling of music cognition


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Information‐Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory K Agres, S Abdallah, M Pearce Cognitive Science, 1-34, 2017	38	2017
Evaluation of musical creativity and musical metacreation systems K Agres, J Forth, GA Wiggins Computers in Entertainment (CIE) 14 (3), 1-33, 2016	26	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	24	2015
Musical expectancy: The influence of musical structure on emotional response CL Krumhansl, KR Agres Behavioral and Brain Sciences 31 (5), 584, 2008	24	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	21	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	17	2016
Entraining IDyOT: timing in the information dynamics of thinking J Forth, K Agres, M Purver, GA Wiggins Frontiers in psychology 7, 1575, 2016	14	2016
Modeling metaphor perception with distributional semantics vector space models. KR Agres, S McGregor, K Rataj, M Purver, GA Wiggins C3GI@ ESSLLI, 2016	12	2016
Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. K Agres, S McGregor, M Purver, GA Wiggins ICCC, 118-125, 2015	12	2015
Mixed-curvature Variational Autoencoders O Skopek, OE Ganea, G Bécigneul arXiv preprint arXiv:1911.08411, 2019	10	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	10	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	10	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	9	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	8	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	8	2015
Intelligibility of Sung Lyrics: A Pilot Study. KM Ibrahim, D Grunberg, K Agres, C Gupta, Y Wang ISMIR, 686-693, 2017	7	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	7	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	6	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	5	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	5	2017

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