NMF with time-frequency activations to model non stationary audio events. - Romain Hennequin; Roland Badeau; Bertrand David 002 (ICASSP, 2010)

Score informed audio source separation using a parametric model of non-negative spectrogram. - Romain Hennequin; Bertrand David 002; Roland Badeau (ICASSP, 2011)

Scale-invariant probabilistic latent component analysis. - Romain Hennequin; Roland Badeau; Bertrand David 002 (WASPAA, 2011)

Beta-Divergence as a Subclass of Bregman Divergence. - Romain Hennequin; Bertrand David 002; Roland Badeau (IEEE Signal Process. Lett., 2011)

NMF With Time-Frequency Activations to Model Nonstationary Audio Events. - Romain Hennequin; Roland Badeau; Bertrand David 002 (IEEE Trans. Speech Audio Process., 2011)

Décomposition de spectrogrammes musicaux informée par des modèles de synthèse spectrale. Modélisation des variations temporelles dans les éléments sonores. (Decomposition of musical spectrograms informed by spectral synthesis models. Modeling of time variations in sound elements). - Romain Hennequin (2011)

Introducing a simple fusion framework for audio source separation. - Xabier Jaureguiberry; Gaël Richard; Pierre Leveau; Romain Hennequin; Emmanuel Vincent 001 (MLSP, 2013)

Speech-guided source separation using a pitch-adaptive guide signal model. - Romain Hennequin; Juan José Burred; Simon Maller; Pierre Leveau (ICASSP, 2014)

Singing voice detection with deep recurrent neural networks. - Simon Leglaive; Romain Hennequin; Roland Badeau (ICASSP, 2015)

Long-Term Reverberation Modeling for Under-Determined Audio Source Separation with Application to Vocal Melody Extraction. - Romain Hennequin; François Rigaud (ISMIR, 2016)

Codec independent lossy audio compression detection. - Romain Hennequin; Jimena Royo-Letelier; Manuel Moussallam (ICASSP, 2017)

Music Mood Detection Based on Audio and Lyrics with Deep Neural Net. - Rémi Delbouys; Romain Hennequin; Francesco Piccoli; Jimena Royo-Letelier; Manuel Moussallam (ISMIR, 2018)

Audio Based Disambiguation of Music Genre Tags. - Romain Hennequin; Jimena Royo-Letelier; Manuel Moussallam (ISMIR, 2018)

Disambiguating Music Artists at Scale with Audio Metric Learning. - Jimena Royo-Letelier; Romain Hennequin; Viet-Anh Tran; Manuel Moussallam (ISMIR, 2018)

Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features. - Albin Andrew Correya; Romain Hennequin; Mickaël Arcos (CoRR, 2018)

Gravity-Inspired Graph Autoencoders for Directed Link Prediction. - Guillaume Salha; Stratis Limnios; Romain Hennequin; Viet-Anh Tran; Michalis Vazirgiannis (CIKM, 2019)

Singing Voice Separation: A Study on Training Data. - Laure Prétet; Romain Hennequin; Jimena Royo-Letelier; Andrea Vaglio (ICASSP, 2019)

A Degeneracy Framework for Scalable Graph Autoencoders. - Guillaume Salha; Romain Hennequin; Viet-Anh Tran; Michalis Vazirgiannis (IJCAI, 2019)

Leveraging knowledge bases and parallel annotations for music genre translation. - Elena V. Epure; Anis Khlif; Romain Hennequin (ISMIR, 2019)

Improving Collaborative Metric Learning with Efficient Negative Sampling. - Viet-Anh Tran; Romain Hennequin; Jimena Royo-Letelier; Manuel Moussallam (SIGIR, 2019)

Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. - Guillaume Salha; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2019)

Modeling the Music Genre Perception across Language-Bound Cultures. - Elena V. Epure; Guillaume Salha; Manuel Moussallam; Romain Hennequin (EMNLP (1), 2020)

Audio-Based Detection of Explicit Content in Music. - Andrea Vaglio; Romain Hennequin; Manuel Moussallam; Gaël Richard; Florence d'Alché-Buc (ICASSP, 2020)

Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. - Elena V. Epure; Guillaume Salha; Romain Hennequin (ISMIR, 2020)

Multilingual lyrics-to-audio alignment. - Andrea Vaglio; Romain Hennequin; Manuel Moussallam; Gaël Richard; Florence d'Alché-Buc (ISMIR, 2020)

Simple and Effective Graph Autoencoders with One-Hop Linear Models. - Guillaume Salha; Romain Hennequin; Michalis Vazirgiannis (ECML/PKDD (1), 2020)

Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. - Darius Afchar; Romain Hennequin (RecSys, 2020)

Muzeeglot : annotation multilingue et multi-sources d'entités musicales à partir de représentations de genres musicaux (Muzeeglot : cross-lingual multi-source music item annotation from music genre embeddings). - Elena V. Epure; Guillaume Salha; Félix Voituret; Marion Baranes; Romain Hennequin (JEP-TALN-RECITAL (Demos), 2020)

FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. - Guillaume Salha; Romain Hennequin; Jean-Baptiste Remy; Manuel Moussallam; Michalis Vazirgiannis (CoRR, 2020)

Spleeter: a fast and efficient music source separation tool with pre-trained models. - Romain Hennequin; Anis Khlif; Félix Voituret; Manuel Moussallam (J. Open Source Softw., 2020)

The WASABI RDF Knowledge Graph. - Michel Buffa; Elena Cabrio; Michael Fell; Fabien Gandon; Alain Giboin; Romain Hennequin; Fabrice Jauvat; Elmahdi Korfed; Franck Michel; Johan Pauwels; Guillaume Pellerin; Maroua Tikat; et al. (Zenodo, 2020)

The WASABI Dataset and RDF Knowledge Graph. - Michel Buffa; Elena Cabrio; Michael Fell; Fabien Gandon; Alain Giboin; Romain Hennequin; Fabrice Jauvat; Elmahdi Korfed; Franck Michel; Johan Pauwels; Guillaume Pellerin; Maroua Tikat; et al. (Zenodo, 2020)

The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata About 2 Million Popular Commercially Released Songs. - Michel Buffa; Elena Cabrio; Michael Fell; Fabien Gandon; Alain Giboin; Romain Hennequin; Franck Michel; Johan Pauwels; Guillaume Pellerin; Maroua Tikat; Marco Winckler (ESWC, 2021)

Singing Language Identification Using a Deep Phonotactic Approach. - Lenny Renault; Andrea Vaglio; Romain Hennequin (ICASSP, 2021)

Towards Rigorous Interpretations: a Formalisation of Feature Attribution. - Darius Afchar; Vincent Guigue; Romain Hennequin (ICML, 2021)

The Words Remain the Same: Cover Detection with Lyrics Transcription. - Andrea Vaglio; Romain Hennequin; Manuel Moussallam; Gaël Richard (ISMIR, 2021)

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. - Guillaume Salha-Galvan; Romain Hennequin; Benjamin Chapus; Viet-Anh Tran; Michalis Vazirgiannis (RecSys, 2021)

Hierarchical Latent Relation Modeling for Collaborative Metric Learning. - Viet-Anh Tran; Guillaume Salha-Galvan; Romain Hennequin; Manuel Moussallam (RecSys, 2021)

Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ). - Elena V. Epure; Guillaume Salha-Galvan; Manuel Moussallam; Romain Hennequin (TALN (1), 2021)

A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition. - Elena V. Epure; Romain Hennequin (CoRR, 2021)

FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. - Guillaume Salha; Romain Hennequin; Jean-Baptiste Remy; Manuel Moussallam; Michalis Vazirgiannis (Neural Networks, 2021)

Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge. - Giovanni Gabbolini; Romain Hennequin; Elena V. Epure (EMNLP, 2022)

Learning Unsupervised Hierarchies of Audio Concepts. - Darius Afchar; Romain Hennequin; Vincent Guigue (ISMIR, 2022)

Network Analyses for Cross-Cultural Music Popularity. - Kongmeng Liew; Vipul Mishra; Yangyang Zhou; Elena V. Epure; Romain Hennequin; Shoko Wakamiya; Eiji Aramaki (ISMIR, 2022)

Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition. - Elena V. Epure; Romain Hennequin (LREC, 2022)

Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. - Bruno Sguerra; Viet-Anh Tran; Romain Hennequin (RecSys, 2022)

Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain. - Bruno Sguerra; Marion Baranes; Romain Hennequin; Manuel Moussallam (UMAP, 2022)

Explainability in Music Recommender Systems. - Darius Afchar; Alessandro B. Melchiorre; Markus Schedl; Romain Hennequin; Elena V. Epure; Manuel Moussallam (AI Mag., 2022)

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2022)

Modularity-aware graph autoencoders for joint community detection and link prediction. - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (Neural Networks, 2022)

Understanding individual and collective diversity of cultural consumption through large-scale music listening events. - Harin Lee; Romain Hennequin; Manuel Moussallam (CHR, 2023)

A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries. - Elena V. Epure; Romain Hennequin (EACL, 2023)

Of Spiky SVDs and Music Recommendation. - Darius Afchar; Romain Hennequin; Vincent Guigue (RecSys, 2023)

On the Consistency of Average Embeddings for Item Recommendation. - Walid Bendada; Guillaume Salha-Galvan; Romain Hennequin; Thomas Bouabça; Tristan Cazenave (RecSys, 2023)

Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect. - Bruno Sguerra; Viet-Anh Tran; Romain Hennequin (RecSys, 2023)

Attention Mixtures for Time-Aware Sequential Recommendation. - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (SIGIR, 2023)

Pauzee : Prédiction des pauses dans la lecture d'un texte. - Marion Baranes; Karl Hayek; Romain Hennequin; Elena V. Epure (CORIA-TALN (1), 2023)

A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries. - Elena V. Epure; Romain Hennequin (CoRR, 2023)

Zero-Note Samba: Self-Supervised Beat Tracking. - Dorian Desblancs; Vincent Lostanlen; Romain Hennequin (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Improving Quotation Attribution with Fictional Character Embeddings. - Gaspard Michel; Elena V. Epure; Romain Hennequin; Christophe Cerisara (EMNLP (Findings), 2024)

An Experimental Comparison of Multi-View Self-Supervised Methods for Music Tagging. - Gabriel Meseguer-Brocal; Dorian Desblancs; Romain Hennequin (ICASSP, 2024)

STraDa: A Singer Traits Dataset. - Yuexuan Kong; Viet-Anh Tran; Romain Hennequin (INTERSPEECH, 2024)

From Real to Cloned Singer Identification. - Dorian Desblancs; Gabriel Meseguer-Brocal; Romain Hennequin; Manuel Moussallam (ISMIR, 2024)

STONE: Self-Supervised Tonality Estimator. - Yuexuan Kong; Vincent Lostanlen; Gabriel Meseguer-Brocal; Stella Wong; Mathieu Lagrange; Romain Hennequin (ISMIR, 2024)

Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation. - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (RecSys, 2024)

Psychology-informed Information Access Systems Workshop. - Markus Schedl; Marta Moscati; Bruno Sguerra; Romain Hennequin; Elisabeth Lex (WSDM, 2024)

Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution. - Gaspard Michel; Elena V. Epure; Romain Hennequin; Christophe Cerisara (CoRR, 2024)

Detecting music deepfakes is easy but actually hard. - Darius Afchar; Gabriel Meseguer-Brocal; Romain Hennequin (CoRR, 2024)

A Realistic Evaluation of LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3. - Gaspard Michel; Elena V. Epure; Romain Hennequin; Christophe Cerisara (CoRR, 2024)

Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation. - Elena V. Epure; Gabriel Meseguer-Brocal; Darius Afchar; Romain Hennequin (CoRR, 2024)

AI-Generated Music Detection and its Challenges. - Darius Afchar; Gabriel Meseguer-Brocal; Romain Hennequin (ICASSP, 2025)

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio. - Yuexuan Kong; Gabriel Meseguer-Brocal; Vincent Lostanlen; Mathieu Lagrange; Romain Hennequin (ICASSP, 2025)

Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3. - Gaspard Michel; Elena V. Epure; Romain Hennequin; Christophe Cerisara (NAACL (Short Papers), 2025)

Uncertainty in Repeated Implicit Feedback as a Measure of Reliability. - Bruno Sguerra; Viet-Anh Tran; Romain Hennequin; Manuel Moussallam (UMAP, 2025)

AI-Generated Song Detection via Lyrics Transcripts. - Markus Frohmann; Elena V. Epure; Gabriel Meseguer-Brocal; Markus Schedl; Romain Hennequin (CoRR, 2025)

A Fourier Explanation of AI-music Artifacts. - Darius Afchar; Gabriel Meseguer-Brocal; Kamil Akesbi; Romain Hennequin (CoRR, 2025)

PeakNetFP: Peak-based Neural Audio Fingerprinting Robust to Extreme Time Stretching. - Guillem Cortès-Sebastià; Benjamin Martin; Emilio Molina; Xavier Serra; Romain Hennequin (CoRR, 2025)

Emergent musical properties of a transformer under contrastive self-supervised learning. - Yuexuan Kong; Gabriel Meseguer-Brocal; Vincent Lostanlen; Mathieu Lagrange; Romain Hennequin (CoRR, 2025)

Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling. - Walid Bendada; Guillaume Salha-Galvan; Romain Hennequin; Théo Bontempelli; Thomas Bouabça; Tristan Cazenave (CoRR, 2025)

Multi-Class-Token Transformer for Multitask Self-supervised Music Information Retrieval. - Yuexuan Kong; Vincent Lostanlen; Romain Hennequin; Mathieu Lagrange; Gabriel Meseguer-Brocal (CoRR, 2025)