default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMaarten Grachten
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c32]Marco Pasini, Maarten Grachten, Stefan Lattner:
Bass Accompaniment Generation Via Latent Diffusion. ICASSP 2024: 1166-1170- [c31]Javier Nistal, Marco Pasini, Cyran Aouameur, Maarten Grachten, Stefan Lattner:
Diff-a-Riff: Musical Accompaniment Co-Creation via Latent Diffusion Models. ISMIR 2024: 272-280 - [i21]Marco Pasini, Maarten Grachten, Stefan Lattner:
Bass Accompaniment Generation via Latent Diffusion. CoRR abs/2402.01412 (2024) - [i20]Maarten Grachten:
Measuring audio prompt adherence with distribution-based embedding distances. CoRR abs/2404.00775 (2024) - [i19]Javier Nistal, Marco Pasini, Cyran Aouameur, Maarten Grachten, Stefan Lattner:
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models. CoRR abs/2406.08384 (2024) - 2023
- [c30]Ali Nikrang
, Maarten Grachten, Martin Gasser, Harald Frostel, Gerhard Widmer, Tom Collins:
Music Visualisation and Its Short-Term Effect on Appraisal Skills. HCI (50) 2023: 112-130 - 2022
- [j8]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) - [i18]Maarten Grachten, Carlos Cancino Chacón, Thassilo Gadermaier:
partitura: A Python Package for Handling Symbolic Musical Data. CoRR abs/2201.13144 (2022) - [i17]Carlos Cancino Chacón, Silvan David Peter, Emmanouil Karystinaios, Francesco Foscarin, Maarten Grachten, Gerhard Widmer:
Partitura: A Python Package for Symbolic Music Processing. CoRR abs/2206.01071 (2022) - [i16]Francesco Foscarin, Emmanouil Karystinaios, Silvan David Peter, Carlos Cancino Chacón, Maarten Grachten, Gerhard Widmer:
The match file format: Encoding Alignments between Scores and Performances. CoRR abs/2206.01104 (2022) - [i15]Emmanuel Deruty, Maarten Grachten:
"Melatonin": A Case Study on AI-induced Musical Style. CoRR abs/2208.08968 (2022)
2010 – 2019
- 2019
- [c29]Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy:
Auto-adaptive Resonance Equalization using Dilated Residual Networks. ISMIR 2019: 405-411 - [c28]Stefan Lattner, Maarten Grachten:
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. WASPAA 2019: 35-39 - [i14]Stefan Lattner, Maarten Grachten:
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. CoRR abs/1908.00948 (2019) - 2018
- [j7]Carlos Eduardo Cancino Chacón, Maarten Grachten, Werner Goebl, Gerhard Widmer:
Computational Models of Expressive Music Performance: A Comprehensive and Critical Review. Frontiers Digit. Humanit. 5: 25 (2018) - [c27]Stefan Lattner, Maarten Grachten, Gerhard Widmer:
A Predictive Model for Music based on Learned Interval Representations. ISMIR 2018: 26-33 - [c26]Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Interval Representations from Polyphonic Music Sequences. ISMIR 2018: 661-668 - [i13]Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio. CoRR abs/1806.08236 (2018) - [i12]Stefan Lattner, Maarten Grachten, Gerhard Widmer:
A Predictive Model for Music Based on Learned Interval Representations. CoRR abs/1806.08686 (2018) - [i11]Carlos Cancino Chacón, Maarten Grachten:
A Computational Study of the Role of Tonal Tension in Expressive Piano Performance. CoRR abs/1807.01080 (2018) - [i10]Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy:
Auto-adaptive Resonance Equalization using Dilated Residual Networks. CoRR abs/1807.08636 (2018) - 2017
- [j6]Maarten Grachten, Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer:
Toward Computer-Assisted Understanding of Dynamics in Symphonic Music. IEEE Multim. 24(1): 36-46 (2017) - [j5]Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer, Maarten Grachten:
An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music. Mach. Learn. 106(6): 887-909 (2017) - [c25]Carlos Eduardo Cancino Chacón, Maarten Grachten, Kat Agres:
From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-Trained Predictive Models. ISMIR 2017: 494-501 - [i9]Stefan Lattner, Maarten Grachten:
Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation. CoRR abs/1707.01357 (2017) - [i8]Carlos Eduardo Cancino Chacón, Maarten Grachten, Kat Agres:
From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models. CoRR abs/1707.06231 (2017) - [i7]Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Musical Relations using Gated Autoencoders. CoRR abs/1708.05325 (2017) - [i6]Carlos Eduardo Cancino Chacón, Maarten Grachten, David R. W. Sears, Gerhard Widmer:
What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music. CoRR abs/1709.03629 (2017) - [i5]Maarten Grachten, Carlos Eduardo Cancino Chacón:
Strategies for Conceptual Change in Convolutional Neural Networks. CoRR abs/1711.01634 (2017) - [i4]Carlos Cancino Chacón, Martin Bonev, Amaury Durand, Maarten Grachten, Andreas Arzt, Laura Bishop, Werner Goebl, Gerhard Widmer:
The ACCompanion v0.1: An Expressive Accompaniment System. CoRR abs/1711.02427 (2017) - 2016
- [c24]Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino Chacón, David Meredith, Maarten Grachten:
Composer Recognition Based on 2D-Filtered Piano-Rolls. ISMIR 2016: 115-121 - [i3]Maarten Grachten, Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer:
Towards computer-assisted understanding of dynamics in symphonic music. CoRR abs/1612.02198 (2016) - [i2]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) - [i1]Thassilo Gadermaier, Maarten Grachten, Carlos Eduardo Cancino Chacón:
Basis-Function Modeling of Loudness Variations in Ensemble Performance. CoRR abs/1612.05432 (2016) - 2015
- [c23]Kat Agres, Carlos Cancino, Maarten Grachten, Stefan Lattner:
A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. CogSci 2015 - [c22]Carlos Eduardo Cancino Chacón, Maarten Grachten:
An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music. Discovery Science 2015: 48-62 - [c21]Andreas Arzt, Harald Frostel, Thassilo Gadermaier, Martin Gasser, Maarten Grachten, Gerhard Widmer:
Artificial Intelligence in the Concertgebouw. IJCAI 2015: 2424-2430 - [c20]Stefan Lattner, Carlos Eduardo Cancino Chacón, Maarten Grachten:
Pseudo-Supervised Training Improves Unsupervised Melody Segmentation. IJCAI 2015: 2459-2465 - [c19]Martin Gasser, Andreas Arzt, Thassilo Gadermaier, Maarten Grachten, Gerhard Widmer:
Classical Music on the Web - User Interfaces and Data Representations. ISMIR 2015: 571-577 - [c18]Stefan Lattner, Maarten Grachten, Kat Agres, Carlos Eduardo Cancino Chacón:
Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. MCM 2015: 323-334 - 2014
- [j4]Maarten Grachten, Florian Krebs:
An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music. IEEE Trans. Multim. 16(5): 1211-1218 (2014) - [c17]Florian Krebs, Filip Korzeniowski, Maarten Grachten, Gerhard Widmer:
Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking. EUSIPCO 2014: 611-615 - [c16]Sam van Herwaarden, Maarten Grachten, W. Bas de Haas:
Predicting Expressive Dynamics in Piano Performances using Neural Networks. ISMIR 2014: 47-52 - [c15]Carlos Eduardo Cancino Chacón, Stefan Lattner, Maarten Grachten:
Developing Tonal Perception through Unsupervised Learning. ISMIR 2014: 195-200 - 2013
- [c14]Maarten Grachten, Martin Gasser, Andreas Arzt, Gerhard Widmer:
Automatic Alignment of Music Performances with Structural Differences. ISMIR 2013: 607-612 - [p1]Sebastian Flossmann, Maarten Grachten, Gerhard Widmer:
Expressive Performance Rendering with Probabilistic Models. Guide to Computing for Expressive Music Performance 2013: 75-98 - 2012
- [j3]Denis Amelynck, Maarten Grachten, Leon van Noorden, Marc Leman:
Toward E-Motion-Based Music Retrieval a Study of Affective Gesture Recognition. IEEE Trans. Affect. Comput. 3(2): 250-259 (2012) - 2010
- [c13]Miguel Molina-Solana, Maarten Grachten, Gerhard Widmer:
Evidence for Pianist-specific Rubato Style in Chopin Nocturnes. ISMIR 2010: 225-230
2000 – 2009
- 2009
- [j2]Gerhard Widmer, Sebastian Flossmann, Maarten Grachten:
YQX Plays Chopin. AI Mag. 30(3): 35-48 (2009) - [c12]Maarten Grachten, Gerhard Widmer:
Who Is Who in the End? Recognizing Pianists by Their Final Ritardandi. ISMIR 2009: 51-56 - [c11]Maarten Grachten, Markus Schedl, Tim Pohle, Gerhard Widmer:
The ISMIR Cloud: A Decade of ISMIR Conferences at Your Fingertips. ISMIR 2009: 63-68 - 2007
- [c10]Ramón López de Mántaras, Maarten Grachten, Josep Lluís Arcos:
Playing with Cases: Tempo Transformations of Jazz Performances Using Case-Based Reasoning. FLAIRS 2007: 8-11 - 2006
- [b1]Maarten Grachten:
Expressivity-aware tempo transformations of music performances using case based reasoning. Pompeu Fabra University, Spain, 2006 - [j1]Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras:
A case based approach to expressivity-aware tempo transformation. Mach. Learn. 65(2-3): 411-437 (2006) - [c9]Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras:
TempoExpress: An Expressivity-Preserving Musical Tempo Transformation System. AAAI 2006: 1609-1612 - [c8]Amaury Hazan, Maarten Grachten, Rafael Ramírez:
Evolving Performance Models by Performance Similarity: Beyond Note-to-note Transformations. ISMIR 2006: 67-72 - [c7]Ramón López de Mántaras, Maarten Grachten, Josep Lluís Arcos:
Expressivity-Preserving Tempo Transformation for Music - A Case-Based Approach. KI 2006: 1-6 - 2005
- [c6]Maarten Grachten, F. Alejandro García, Josep Lluís Arcos:
Navigating Through Case Base Competence. ICCBR 2005: 282-295 - 2004
- [c5]Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras:
Evolutionary Optimization of Music Performance Annotation. CMMR 2004: 347-358 - [c4]Maarten Grachten, Josep Lluís Arcos:
Using the Implication/Realization Model for Measuring Melodic Similarity. ECAI 2004: 1023-1024 - [c3]Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras:
TempoExpress, a CBR Approach to Musical Tempo Transformations. ECCBR 2004: 601-615 - [c2]Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras:
Melodic Similarity: Looking for a Good Abstraction Level. ISMIR 2004 - 2003
- [c1]Josep Lluís Arcos, Maarten Grachten, Ramón López de Mántaras:
Extracting Performers' Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations. ICCBR 2003: 20-34
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-20 00:48 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
