Puri G., Socklingam N., Herremans D..  2026.  Digital Lifelong Learning in the Age of AI: Trends and Insights.

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A. Putri M, Saide S., D. Riau K, Herremans D..  2026.  Generative AI in Education for SDG 4: Insights from Indonesia and Kazakhstan. Proceedings of the Pacific Asia Conference on Information Systems (PACIS)..

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Song M., Pala T.D, Jin W., Zadeh A., Li C., Herremans D., Poria S..  2026.  Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions. Proceedings of ICLR.

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Jin W., Song M., Pala T.D, Ken C.Y., Herremans D., Poria S..  2026.  PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference. 19th International Natural Language Generation Conference (INLG).

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Song M., Liu R., Wang X, Jiang Y, Xie P, Huang F, Zhou J, Herremans D., Poria S..  2025.  Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics. arXiv:2510.05137.

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Tripathi A., Patle V., Jain A., Pundir A., Menon S., A. Singh K, Herremans D..  2025.  End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation. Proceedings of IJCNN, Rome, Italy.

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Tripathi A., A. Singh K, Surya R., Gupta A., Veikho S.L., Herremans D., Bisane S..  2025.  HHNAS-AM: Hierarchical Hybrid Neural Architecture Search using Adaptive Mutation Policies. arXiv:2508.14946.

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Tripathi A., A. Singh K, Surya R., Gupta A., Veikho S.L., Herremans D., Bisane S..  2025.  HHNAS-AM: Hierarchical Hybrid Neural Architecture Search using Adaptive Mutation Policies. arXiv:2508.14946.

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Lam P., Zhang H., Chen N.F, Sisman B., Herremans D..  2025.  PRESENT: Zero-Shot Text-to-Prosody Control. IEEE Signal Processing Letters.

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2408.06827v1.pdf (367.55 KB)

Wei M., Modrzejewski M., Sivaraman A., Herremans D..  2025.  Prevailing Research Areas for Music AI in the Era of Foundation Models.

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Sockalingam N., Lo K., Teo J., Wei C.C., Chow D., Herremans D., Jun M.L.M., Kurniawan O., Wang Y., Leong P.K.  2025.  Towards the future of education: cyber-physical learning. Discover Education. 4:1–16.

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Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  Accent Conversion in Text-To-Speech Using Multi-Level VAE and Adversarial Training. Proc. of IEEE Tencon, Singapore.

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Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder. Proc. of IEEE Tencon, Singapore.

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Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speech. Audio Imagination: NeurIPS 2024 Workshop.

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Lam P., Zhang H., Chen N.F, Sisman B., Herremans D..  2024.  SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech. Proc. of IEEE Tencon, Singapore.

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2211.07283.pdf (435.22 KB)

Cheuk K.W., Sawata R, Uesaka T, Murata N, Takahashi N, Takahashi S, Herremans D., Mitsufuji Y.  2023.  DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP.

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diffroll.pdf (2.2 MB)

Melechovsky J., Mehrish A., Herremans D., Sisman B..  2023.  Learning accent representation with multi-level VAE towards controllable speech synthesis. IEEE Spoken Language Technology (SLT) Workshop.

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Turian J, Shier J, Khan HRaj, Raj B, Schuller BW, Steinmetz CJ, Malloy C, Tzanetakis G, Velarde G, McNally K et al..  2022.  HEAR 2021: Holistic Evaluation of Audio Representations. Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track.

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2203.03022.pdf (406.58 KB)

Turian J, Shier J, Khan HRaj, Raj B, Schuller BW, Steinmetz CJ, Malloy C, Tzanetakis G, Velarde G, McNally K et al..  2022.  HEAR 2021: Holistic Evaluation of Audio Representations. Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track.

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2203.03022.pdf (406.58 KB)

Turian J, Shier J, Khan HRaj, Raj B, Schuller BW, Steinmetz CJ, Malloy C, Tzanetakis G, Velarde G, McNally K et al..  2022.  HEAR 2021: Holistic Evaluation of Audio Representations. Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track.

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2203.03022.pdf (406.58 KB)

Turian J, Shier J, Khan HRaj, Raj B, Schuller BW, Steinmetz CJ, Malloy C, Tzanetakis G, Velarde G, McNally K et al..  2022.  HEAR 2021: Holistic Evaluation of Audio Representations. Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track.

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2203.03022.pdf (406.58 KB)

Guo R, Simpton I., Kiefer C., Magnusson T, Herremans D..  2022.  MusIAC: An extensible generative framework for Music Infilling Application with multi-level Control. EvoMUSART.

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2202.05528.pdf (893.23 KB)

Sockalingam N., Lo K., n KO., Herremans D., Raghunath N., Cancion H.GC, Kejun H., Leong H., Tan J., Nizharzharudin K. et al..  2022.  A white paper on cyberphysical learning. White paper, Singapore University of Technology and Design.

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LSL_WhitePaper_Cyber-physical-Campus-Higher-Education.pdf (6.98 MB)

Agres K., Schaefer R, Volk A, Van Hooren S, Holzapfel A, Bella SDalla, Müller M, de Witte M, Herremans D., Melendez RRamirez et al..  2021.  Music, Computing, and Health: A roadmap for the current and future roles of music technology for healthcare and well-being. Music & Science.

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Preprint for OSF_Agres, Schaefer, Volk, et al. (2021)_Music & Science_watermark.pdf (4.07 MB)

Cheuk K.W., Su L., Herremans D..  2021.  ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. ACM Multimedia.

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Garg K., Singh A., Herremans D., Lall B..  2020.  PerceptionGAN: Real-world image construction from provided text through perceptual understanding. 4th Int. Conf. on Imaging, Vision and Pattern Recognition (IVPR), and 9th Int. Conf. on Informatics, Electronics & Vision (ICIEV).

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perceptionGAN-preprint.pdf (2.83 MB)

Guo R, Simpson I, Magnusson T, Kiefer C., Herremans D..  2020.  A variational autoencoder for music generation controlled by tonal tension. Joint Conference on AI Music Creativity (CSMC + MuMe).

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2010.06230.pdf (622.82 KB)

Sturm B., Ben-Tal O., Monaghan U., Collins N., Herremans D., Chew E., Hadjeres G., Deruty E., Pachet F..  2019.  Machine Learning Research that Matters for Music Creation: A Case Study. Journal of New Music Research. 48(1):36-55.

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concert_paper_preprint.pdf (1.6 MB)

Sokolovskis J., Herremans D., Chew E..  2018.  A Novel Interface for the Graphical Analysis of Music Practice Behaviours. Frontiers in Psychology - Human-Media Interaction. 9

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practice_browser.pdf (4.9 MB)

Balliauw M., Herremans D., D. Cuervo P, Sörensen K..  2017.  A variable neighborhood search algorithm to generate piano fingerings for polyphonic sheet music. International Transactions in Operational Research, Special Issue on Variable Neighbourhood Search. 24(3):509–535.

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ITOR_VNS_APF_preprint.pdf (840.28 KB)

Herremans D., Sörensen K., Martens D.  2015.  Classification and generation of composer-specific music using global feature models and variable neighborhood search. Computer Music Journal. 39(3):91.

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papercmj-dh_preprint.pdf (637.63 KB)

Herremans D., Martens D, Sörensen K., Meredith D..  2015.  Composer Classification Models for Music-Theory Building. Computational Music Analysis.

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Chapter_HerremansEtAl_preprint.pdf (475.26 KB)

Balliauw M., Herremans D., D. Cuervo P, Sörensen K..  2015.  Generating Fingerings for Polyphonic Piano Music with a Tabu Search Algorithm. Mathematics and Computation in Music. 9110:149-160.

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paper_mcm_preprint.pdf (405.73 KB)

Herremans D., Weisser S., Sörensen K., Conklin D..  2015.  Generating music with an optimization algorithm using a Markov based objective function. ORBEL29, Belgian Conference on Operations Research.

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orbel29abs.pdf (138.67 KB)

Herremans D., Weisser S., Sörensen K., Conklin D..  2015.  Generating structured music for bagana using quality metrics based on Markov models. Expert Systems With Applications. 42 (21)(21):424–7435.

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paper-bagana.pdf (1.73 MB)

Herremans D., Martens D, Sörensen K..  2014.  Dance hit song prediction. Journal of New music Research. 43:302.

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wp_hit.pdf (689.07 KB)

Herremans D., Sörensen K., Conklin D..  2014.  First species counterpoint generation with VNS and vertical viewpoints. Annual Conference of the Belgian Operation Research Society (ORBEL28).

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orbel28_dh.pdf (216.63 KB)

Herremans D., Weisser S., Sörensen K., Conklin D..  2014.  Generating structured music using quality metrics based on Markov models.

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wp_bagana.pdf (1.7 MB)

Herremans D., Martens D, Sörensen K..  2014.  Looking into the minds of Bach, Haydn and Beethoven: Classification and generation of composer-specific music.

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RPS-2014-001.pdf (575.42 KB)

Herremans D., Weisser S., Sörensen K., Conklin D..  2014.  Markov Based Quality Metrics For Generating Structured Music With Optimization Techniques. Digital Music Research Network (DMNR+9).

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dmrn9_dh.pdf (133.29 KB)

Herremans D., Sörensen K., Conklin D..  2014.  Sampling the extrema from statistical models of music with variable neighbourhood search. ICMC/SMC.

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icmc_dh.pdf (1.07 MB)

Herremans D., Sörensen K..  2013.  Composing Fifth Species Counterpoint Music With A Variable Neighborhood Search Algorithm. Expert Systems with Applications. 40

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paper_preprint_cp5.pdf (405.75 KB)

Herremans D., Martens D, Sörensen K..  2013.  Dance Hit Song Science. International Workshop on Music and Machine Learning.

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abstract_preprint_MML2013_DH.pdf (194.82 KB)

Herremans D., Sörensen K., Conklin D..  2013.  First species counterpoint generation with VNS and vertical viewpoints. Digital Music Research Network (DMNR+8).

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dnmr8_dh_dc.pdf (147.73 KB)

Herremans D., Sörensen K..  2013.  FuX, an Android app that generates counterpoint. IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC). :48-55.

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wp_fux.pdf (486.27 KB)

Herremans D., Sörensen K..  2012.  Composing counterpoint musical scores with variable neighborhood search. Annual Conference of the Belgian Operation Research Society (ORBEL26).

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orbel26abs_vnsforcp.pdf (116.85 KB)

Herremans D., Sörensen K..  2012.  Composing Fifth Species Counterpoint Music With Variable Neighborhood Search.

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wp_cp5.pdf (508 KB)

Herremans D., Sörensen K..  2012.  Composing first species counterpoint musical scores with a variable neighbourhood search algorithm. Journal of Mathematics and the Arts. 6:169-189.

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Herremans D., Sörensen K..  2011.  A Variable Neighborhood Search Algorithm for Composing First Species Counterpoint Musical Fragments. 2011017

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wp_cp1.pdf (775.91 KB)