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Maarten Grachten

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Stefan Lattner

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Publications

2024
[i19]
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  - journals/corr/abs-2402-01412
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  - https://dblp.org/rec/journals/corr/abs-2402-01412
Marco Pasini, Maarten Grachten, Stefan Lattner:
Bass Accompaniment Generation via Latent Diffusion. CoRR abs/2402.01412 (2024)
2022
[j8]
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  dblp key:
  - journals/tismir/DerutyGLNA22
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  - https://dblp.org/rec/journals/tismir/DerutyGLNA22
Emmanuel Deruty, Maarten Grachten, Stefan Lattner, Javier Nistal, Cyran Aouameur:
On the Development and Practice of AI Technology for Contemporary Popular Music Production. Trans. Int. Soc. Music. Inf. Retr. 5(1): 35 (2022)
2019
[c28]
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  dblp key:
  - conf/waspaa/LattnerG19
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  - https://dblp.org/rec/conf/waspaa/LattnerG19
Stefan Lattner, Maarten Grachten:
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. WASPAA 2019: 35-39
[i14]
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  dblp key:
  - journals/corr/abs-1908-00948
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Stefan Lattner, Maarten Grachten:
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. CoRR abs/1908.00948 (2019)
2018
[c27]
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  - electronic edition @ ircam.fr (open access)
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  - conf/ismir/LattnerGW18
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Stefan Lattner, Maarten Grachten, Gerhard Widmer:
A Predictive Model for Music based on Learned Interval Representations. ISMIR 2018: 26-33
[c26]
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  - conf/ismir/LattnerGW18a
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Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Interval Representations from Polyphonic Music Sequences. ISMIR 2018: 661-668
[i13]
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  - journals/corr/abs-1806-08236
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Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio. CoRR abs/1806.08236 (2018)
[i12]
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  dblp key:
  - journals/corr/abs-1806-08686
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Stefan Lattner, Maarten Grachten, Gerhard Widmer:
A Predictive Model for Music Based on Learned Interval Representations. CoRR abs/1806.08686 (2018)
2017
[i9]
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  - journals/corr/LattnerG17
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Stefan Lattner, Maarten Grachten:
Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation. CoRR abs/1707.01357 (2017)
[i7]
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  dblp key:
  - journals/corr/abs-1708-05325
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Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Musical Relations using Gated Autoencoders. CoRR abs/1708.05325 (2017)
2016
[i2]
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  - journals/corr/LattnerGW16
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Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints. CoRR abs/1612.04742 (2016)
2015
[c23]
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  - electronic edition @ mindmodeling.org (archived)
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  - conf/cogsci/AgresCGL15
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Kat Agres, Carlos Cancino, Maarten Grachten, Stefan Lattner:
A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. CogSci 2015
[c20]
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  - conf/ijcai/LattnerCG15
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Stefan Lattner, Carlos Eduardo Cancino Chacón, Maarten Grachten:
Pseudo-Supervised Training Improves Unsupervised Melody Segmentation. IJCAI 2015: 2459-2465
[c18]
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  dblp key:
  - conf/mcm2/LattnerGAC15
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Stefan Lattner, Maarten Grachten, Kat Agres, Carlos Eduardo Cancino Chacón:
Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. MCM 2015: 323-334
2014
[c15]
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  - electronic edition @ terasoft.com.tw (archived)
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  dblp key:
  - conf/ismir/ChaconLG14
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Carlos Eduardo Cancino Chacón, Stefan Lattner, Maarten Grachten:
Developing Tonal Perception through Unsupervised Learning. ISMIR 2014: 195-200

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