Maarten Grachten

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 33

Top Topics

Unsupervised Learning

Data Representations

Diffusion Models

Top Venues

Discovery Science

Publications

Javier Nistal, Marco Pasini, Cyran Aouameur, Maarten Grachten, Stefan Lattner
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models. CoRR (2024)
Maarten Grachten
Measuring audio prompt adherence with distribution-based embedding distances. CoRR (2024)
Marco Pasini, Maarten Grachten, Stefan Lattner
Bass Accompaniment Generation Via Latent Diffusion. ICASSP (2024)
Marco Pasini, Maarten Grachten, Stefan Lattner
Bass Accompaniment Generation via Latent Diffusion. CoRR (2024)
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)
Emmanuel Deruty, Maarten Grachten
"Melatonin": A Case Study on AI-induced Musical Style. CoRR (2022)
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 (2022)
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) (2022)
Carlos Cancino Chacón, Silvan David Peter, Emmanouil Karystinaios, Francesco Foscarin, Maarten Grachten, Gerhard Widmer
Partitura: A Python Package for Symbolic Music Processing. CoRR (2022)
Maarten Grachten, Carlos Cancino Chacón, Thassilo Gadermaier
partitura: A Python Package for Handling Symbolic Musical Data. CoRR (2022)
Stefan Lattner, Maarten Grachten
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. WASPAA (2019)
Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy
Auto-adaptive Resonance Equalization using Dilated Residual Networks. ISMIR (2019)
Stefan Lattner, Maarten Grachten
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. CoRR (2019)
Carlos Cancino Chacón, Maarten Grachten
A Computational Study of the Role of Tonal Tension in Expressive Piano Performance. CoRR (2018)
Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy
Auto-adaptive Resonance Equalization using Dilated Residual Networks. CoRR (2018)
Stefan Lattner, Maarten Grachten, Gerhard Widmer
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio. CoRR (2018)
Stefan Lattner, Maarten Grachten, Gerhard Widmer
A Predictive Model for Music based on Learned Interval Representations. ISMIR (2018)
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 (2018)
Stefan Lattner, Maarten Grachten, Gerhard Widmer
A Predictive Model for Music Based on Learned Interval Representations. CoRR (2018)
Stefan Lattner, Maarten Grachten, Gerhard Widmer
Learning Interval Representations from Polyphonic Music Sequences. ISMIR (2018)
Maarten Grachten, Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer
Toward Computer-Assisted Understanding of Dynamics in Symphonic Music. IEEE Multim. 24 (1) (2017)
Stefan Lattner, Maarten Grachten
Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation. CoRR (2017)
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) (2017)
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 (2017)
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)
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 (2017)
Stefan Lattner, Maarten Grachten, Gerhard Widmer
Learning Musical Relations using Gated Autoencoders. CoRR (2017)
Maarten Grachten, Carlos Eduardo Cancino Chacón
Strategies for Conceptual Change in Convolutional Neural Networks. CoRR (2017)
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 (2017)
Stefan Lattner, Maarten Grachten, Gerhard Widmer
Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints. CoRR (2016)
Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino Chacón, David Meredith, Maarten Grachten
Composer Recognition Based on 2D-Filtered Piano-Rolls. ISMIR (2016)
Thassilo Gadermaier, Maarten Grachten, Carlos Eduardo Cancino Chacón
Basis-Function Modeling of Loudness Variations in Ensemble Performance. CoRR (2016)
Maarten Grachten, Carlos Eduardo Cancino Chacón, Thassilo Gadermaier, Gerhard Widmer
Towards computer-assisted understanding of dynamics in symphonic music. CoRR (2016)
Stefan Lattner, Maarten Grachten, Kat Agres, Carlos Eduardo Cancino Chacón
Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. MCM (2015)
Andreas Arzt, Harald Frostel, Thassilo Gadermaier, Martin Gasser, Maarten Grachten, Gerhard Widmer
Artificial Intelligence in the Concertgebouw. IJCAI (2015)
Martin Gasser, Andreas Arzt, Thassilo Gadermaier, Maarten Grachten, Gerhard Widmer
Classical Music on the Web - User Interfaces and Data Representations. ISMIR (2015)
Carlos Eduardo Cancino Chacón, Maarten Grachten
An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music. Discovery Science (2015)
Kat Agres, Carlos Cancino, Maarten Grachten, Stefan Lattner
A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. CogSci (2015)
Stefan Lattner, Carlos Eduardo Cancino Chacón, Maarten Grachten
Pseudo-Supervised Training Improves Unsupervised Melody Segmentation. IJCAI (2015)
Sam van Herwaarden, Maarten Grachten, W. Bas de Haas
Predicting Expressive Dynamics in Piano Performances using Neural Networks. ISMIR (2014)
Florian Krebs, Filip Korzeniowski, Maarten Grachten, Gerhard Widmer
Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking. EUSIPCO (2014)
Carlos Eduardo Cancino Chacón, Stefan Lattner, Maarten Grachten
Developing Tonal Perception through Unsupervised Learning. ISMIR (2014)
Maarten Grachten, Florian Krebs
An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music. IEEE Trans. Multim. 16 (5) (2014)
Maarten Grachten, Martin Gasser, Andreas Arzt, Gerhard Widmer
Automatic Alignment of Music Performances with Structural Differences. ISMIR (2013)
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) (2012)
Miguel Molina-Solana, Maarten Grachten, Gerhard Widmer
Evidence for Pianist-specific Rubato Style in Chopin Nocturnes. ISMIR (2010)
Gerhard Widmer, Sebastian Flossmann, Maarten Grachten
YQX Plays Chopin. AI Mag. 30 (3) (2009)
Maarten Grachten, Gerhard Widmer
Who Is Who in the End? Recognizing Pianists by Their Final Ritardandi. ISMIR (2009)
Maarten Grachten, Markus Schedl, Tim Pohle, Gerhard Widmer
The ISMIR Cloud: A Decade of ISMIR Conferences at Your Fingertips. ISMIR (2009)
Ramón López de Mántaras, Maarten Grachten, Josep Lluís Arcos
Playing with Cases: Tempo Transformations of Jazz Performances Using Case-Based Reasoning. FLAIRS Conference (2007)
Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras
A case based approach to expressivity-aware tempo transformation. Mach. Learn. 65 (2-3) (2006)
Amaury Hazan, Maarten Grachten, Rafael Ramírez
Evolving Performance Models by Performance Similarity: Beyond Note-to-note Transformations. ISMIR (2006)
Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras
TempoExpress: An Expressivity-Preserving Musical Tempo Transformation System. AAAI (2006)
Ramón López de Mántaras, Maarten Grachten, Josep Lluís Arcos
Expressivity-Preserving Tempo Transformation for Music - A Case-Based Approach. KI (2006)
Maarten Grachten, F. Alejandro García, Josep Lluís Arcos
Navigating Through Case Base Competence. ICCBR (2005)
Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras
Melodic Similarity: Looking for a Good Abstraction Level. ISMIR (2004)
Maarten Grachten, Josep Lluís Arcos
Using the Implication/Realization Model for Measuring Melodic Similarity. ECAI (2004)
Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras
TempoExpress, a CBR Approach to Musical Tempo Transformations. ECCBR (2004)
Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras
Evolutionary Optimization of Music Performance Annotation. CMMR (2004)
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)