| 2025 | ICASSP | AI-Generated Music Detection and its Challenges. | Darius Afchar, Gabriel Meseguer-Brocal, Romain Hennequin |
| 2025 | ICASSP | S-KEY: Self-supervised Learning of Major and Minor Keys from Audio. | Yuexuan Kong, Gabriel Meseguer-Brocal, Vincent Lostanlen, Mathieu Lagrange, Romain Hennequin |
| 2025 | ICML | Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling. | Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Tho Bontempelli, Thomas Bouaba, Tristan Cazenave |
| 2025 | NAACL | Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3. | Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara |
| 2024 | EMNLP | Improving Quotation Attribution with Fictional Character Embeddings. | Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara |
| 2024 | ICASSP | An Experimental Comparison of Multi-View Self-Supervised Methods for Music Tagging. | Gabriel Meseguer-Brocal, Dorian Desblancs, Romain Hennequin |
| 2024 | Interspeech | STraDa: A Singer Traits Dataset. | Yuexuan Kong, Viet-Anh Tran, Romain Hennequin |
| 2024 | RecSys | Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation. | Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Massoni Sguerra, Romain Hennequin |
| 2024 | WSDM | Psychology-informed Information Access Systems Workshop. | Markus Schedl, Marta Moscati, Bruno Massoni Sguerra, Romain Hennequin, Elisabeth Lex |
| 2023 | EACL | A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries. | Elena V. Epure, Romain Hennequin |
| 2023 | RecSys | Of Spiky SVDs and Music Recommendation. | Darius Afchar, Romain Hennequin, Vincent Guigue |
| 2023 | RecSys | On the Consistency of Average Embeddings for Item Recommendation. | Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouaba, Tristan Cazenave |
| 2023 | RecSys | Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect. | Bruno Massoni Sguerra, Viet-Anh Tran, Romain Hennequin |
| 2023 | SIGIR | Attention Mixtures for Time-Aware Sequential Recommendation. | Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Massoni Sguerra, Romain Hennequin |
| 2022 | EMNLP | Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge. | Giovanni Gabbolini, Romain Hennequin, Elena V. Epure |
| 2022 | LREC | Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition. | Elena V. Epure, Romain Hennequin |
| 2022 | RecSys | Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. | Bruno Massoni Sguerra, Viet-Anh Tran, Romain Hennequin |
| 2021 | ICASSP | Singing Language Identification Using a Deep Phonotactic Approach. | Lenny Renault, Andrea Vaglio, Romain Hennequin |
| 2021 | ICML | Towards Rigorous Interpretations: a Formalisation of Feature Attribution. | Darius Afchar, Vincent Guigue, Romain Hennequin |
| 2021 | RecSys | Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. | Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis |
| 2021 | RecSys | Hierarchical Latent Relation Modeling for Collaborative Metric Learning. | Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam |
| 2020 | EMNLP | Modeling the Music Genre Perception across Language-Bound Cultures. | Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin |
| 2020 | ICASSP | Audio-Based Detection of Explicit Content in Music. | Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gal Richard, Florence d'Alch-Buc |
| 2020 | RecSys | Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. | Darius Afchar, Romain Hennequin |
| 2019 | CIKM | Gravity-Inspired Graph Autoencoders for Directed Link Prediction. | Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis |
| 2019 | ICASSP | Singing Voice Separation: A Study on Training Data. | Laure Prtet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio |
| 2019 | IJCAI | A Degeneracy Framework for Scalable Graph Autoencoders. | Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis |
| 2019 | SIGIR | Improving Collaborative Metric Learning with Efficient Negative Sampling. | Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam |
| 2017 | ICASSP | Codec independent lossy audio compression detection. | Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam |
| 2015 | ICASSP | Singing voice detection with deep recurrent neural networks. | Simon Leglaive, Romain Hennequin, Roland Badeau |
| 2014 | ICASSP | Speech-guided source separation using a pitch-adaptive guide signal model. | Romain Hennequin, Juan Jos Burred, Simon Maller, Pierre Leveau |
| 2011 | ICASSP | Score informed audio source separation using a parametric model of non-negative spectrogram. | Romain Hennequin, Bertrand David, Roland Badeau |
| 2010 | ICASSP | NMF with time-frequency activations to model non stationary audio events. | Romain Hennequin, Roland Badeau, Bertrand David |