Romain Hennequin

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 82

Top Venues

Télécom ParisTech, France (PHD)

Education History

Télécom ParisTech, France

PHD

Publications

Yuexuan Kong, Vincent Lostanlen, Gabriel Meseguer-Brocal, Stella Wong, Mathieu Lagrange, Romain Hennequin
STONE: Self-supervised Tonality Estimator. CoRR (2024)
Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara
A Realistic Evaluation of LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3. CoRR (2024)
Gabriel Meseguer-Brocal, Dorian Desblancs, Romain Hennequin
An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging. CoRR (2024)
Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin, Manuel Moussallam
From Real to Cloned Singer Identification. CoRR (2024)
Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara
Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution. CoRR (2024)
Gabriel Meseguer-Brocal, Dorian Desblancs, Romain Hennequin
An Experimental Comparison of Multi-View Self-Supervised Methods for Music Tagging. ICASSP (2024)
Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara
Improving Quotation Attribution with Fictional Character Embeddings. CoRR (2024)
Yuexuan Kong, Viet-Anh Tran, Romain Hennequin
STraDa: A Singer Traits Dataset. CoRR (2024)
Darius Afchar, Gabriel Meseguer-Brocal, Romain Hennequin
Detecting music deepfakes is easy but actually hard. CoRR (2024)
Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex
Psychology-informed Information Access Systems Workshop. WSDM (2024)
Elena V. Epure, Romain Hennequin
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries. CoRR (2023)
Elena V. Epure, Romain Hennequin
A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries. EACL (2023)
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin
Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect. RecSys (2023)
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin
Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect. CoRR (2023)
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave
On the Consistency of Average Embeddings for Item Recommendation. RecSys (2023)
Marion Baranes, Karl Hayek, Romain Hennequin, Elena V. Epure
Pauzee : Prédiction des pauses dans la lecture d'un texte. CORIA-TALN (1) (2023)
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave
On the Consistency of Average Embeddings for Item Recommendation. CoRR (2023)
Darius Afchar, Romain Hennequin, Vincent Guigue
Of Spiky SVDs and Music Recommendation. RecSys (2023)
Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin
Attention Mixtures for Time-Aware Sequential Recommendation. CoRR (2023)
Dorian Desblancs, Vincent Lostanlen, Romain Hennequin
Zero-Note Samba: Self-Supervised Beat Tracking. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Darius Afchar, Romain Hennequin, Vincent Guigue
Of Spiky SVDs and Music Recommendation. CoRR (2023)
Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin
Attention Mixtures for Time-Aware Sequential Recommendation. SIGIR (2023)
Harin Lee, Romain Hennequin, Manuel Moussallam
Understanding individual and collective diversity of cultural consumption through large-scale music listening events. CHR (2023)
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
Modularity-aware graph autoencoders for joint community detection and link prediction. Neural Networks 153 (2022)
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR (2022)
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. RecSys (2022)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. AI Mag. 43 (2) (2022)
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. CoRR (2022)
Elena V. Epure, Romain Hennequin
Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition. LREC (2022)
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
Explainability in Music Recommender Systems. CoRR (2022)
Darius Afchar, Romain Hennequin, Vincent Guigue
Learning Unsupervised Hierarchies of Audio Concepts. CoRR (2022)
Giovanni Gabbolini, Romain Hennequin, Elena V. Epure
Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge. EMNLP (2022)
Bruno Sguerra, Marion Baranes, Romain Hennequin, Manuel Moussallam
Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain. UMAP (2022)
Kongmeng Liew, Vipul Mishra, Yangyang Zhou, Elena V. Epure, Romain Hennequin, Shoko Wakamiya, Eiji Aramaki
Network Analyses for Cross-Cultural Music Popularity. ISMIR (2022)
Darius Afchar, Romain Hennequin, Vincent Guigue
Learning Unsupervised Hierarchies of Audio Concepts. ISMIR (2022)
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR (2022)
Michel Buffa, Elena Cabrio, Michael Fell, Fabien Gandon, Alain Giboin, Romain Hennequin, Franck Michel, Johan Pauwels, Guillaume Pellerin, Maroua Tikat, Marco Winckler
The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata About 2 Million Popular Commercially Released Songs. ESWC (2021)
Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. RecSys (2021)
Elena V. Epure, Guillaume Salha-Galvan, Manuel Moussallam, Romain Hennequin
Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ). TALN (1) (2021)
Darius Afchar, Romain Hennequin, Vincent Guigue
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. CoRR (2021)
Elena V. Epure, Romain Hennequin
A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition. CoRR (2021)
Lenny Renault, Andrea Vaglio, Romain Hennequin
Singing Language Identification using a Deep Phonotactic Approach. CoRR (2021)
Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. Neural Networks 142 (2021)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard
The Words Remain the Same: Cover Detection with Lyrics Transcription. ISMIR (2021)
Darius Afchar, Vincent Guigue, Romain Hennequin
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. ICML (2021)
Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. CoRR (2021)
Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. RecSys (2021)
Lenny Renault, Andrea Vaglio, Romain Hennequin
Singing Language Identification Using a Deep Phonotactic Approach. ICASSP (2021)
Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. CoRR (2021)
Darius Afchar, Romain Hennequin
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. CoRR (2020)
Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin
Modeling the Music Genre Perception across Language-Bound Cultures. CoRR (2020)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
Audio-Based Detection of Explicit Content in Music. ICASSP (2020)
Elena V. Epure, Guillaume Salha, Félix Voituret, Marion Baranes, Romain Hennequin
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). JEP-TALN-RECITAL (Demos) (2020)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
Multilingual lyrics-to-audio alignment. ISMIR (2020)
Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis
Simple and Effective Graph Autoencoders with One-Hop Linear Models. CoRR (2020)
Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis
Simple and Effective Graph Autoencoders with One-Hop Linear Models. ECML/PKDD (1) (2020)
Romain Hennequin, Anis Khlif, Félix Voituret, Manuel Moussallam
Spleeter: a fast and efficient music source separation tool with pre-trained models. J. Open Source Softw. 5 (56) (2020)
Elena V. Epure, Guillaume Salha, Romain Hennequin
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. ISMIR (2020)
Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin
Modeling the Music Genre Perception across Language-Bound Cultures. EMNLP (1) (2020)
Darius Afchar, Romain Hennequin
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. RecSys (2020)
Elena V. Epure, Guillaume Salha, Romain Hennequin
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. CoRR (2020)
Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. CoRR (2020)
Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis
A Degeneracy Framework for Scalable Graph Autoencoders. IJCAI (2019)
Elena V. Epure, Anis Khlif, Romain Hennequin
Leveraging knowledge bases and parallel annotations for music genre translation. ISMIR (2019)
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Improving Collaborative Metric Learning with Efficient Negative Sampling. SIGIR (2019)
Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CoRR (2019)
Elena V. Epure, Anis Khlif, Romain Hennequin
Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation. CoRR (2019)
Laure Prétet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio
Singing Voice Separation: A Study on Training Data. ICASSP (2019)
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Improving Collaborative Metric Learning with Efficient Negative Sampling. CoRR (2019)
Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CIKM (2019)
Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis
A Degeneracy Framework for Scalable Graph Autoencoders. CoRR (2019)
Laure Prétet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio
Singing voice separation: a study on training data. CoRR (2019)
Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. CoRR (2019)
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
Music Mood Detection Based on Audio and Lyrics with Deep Neural Net. ISMIR (2018)
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
Disambiguating Music Artists at Scale with Audio Metric Learning. ISMIR (2018)
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net. CoRR (2018)
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
Disambiguating Music Artists at Scale with Audio Metric Learning. CoRR (2018)
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Audio Based Disambiguation of Music Genre Tags. ISMIR (2018)
Albin Andrew Correya, Romain Hennequin, Mickaël Arcos
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features. CoRR (2018)
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Audio Based Disambiguation Of Music Genre Tags. CoRR (2018)
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Codec independent lossy audio compression detection. ICASSP (2017)
Romain Hennequin, François Rigaud
Long-Term Reverberation Modeling for Under-Determined Audio Source Separation with Application to Vocal Melody Extraction. ISMIR (2016)
Simon Leglaive, Romain Hennequin, Roland Badeau
Singing voice detection with deep recurrent neural networks. ICASSP (2015)
Romain Hennequin, Juan José Burred, Simon Maller, Pierre Leveau
Speech-guided source separation using a pitch-adaptive guide signal model. ICASSP (2014)
Xabier Jaureguiberry, Gaël Richard, Pierre Leveau, Romain Hennequin, Emmanuel Vincent
Introducing a simple fusion framework for audio source separation. MLSP (2013)
Romain Hennequin, Roland Badeau, Bertrand David
NMF With Time-Frequency Activations to Model Nonstationary Audio Events. IEEE Trans. Speech Audio Process. 19 (4) (2011)
Romain Hennequin, Bertrand David, Roland Badeau
Score informed audio source separation using a parametric model of non-negative spectrogram. ICASSP (2011)
Romain Hennequin, Roland Badeau, Bertrand David
Scale-invariant probabilistic latent component analysis. WASPAA (2011)
Romain Hennequin, Bertrand David, Roland Badeau
Beta-Divergence as a Subclass of Bregman Divergence. IEEE Signal Process. Lett. 18 (2) (2011)
Romain Hennequin, Roland Badeau, Bertrand David
NMF with time-frequency activations to model non stationary audio events. ICASSP (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Romain Hennequin