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2020 – today
- 2024
[c47]Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara:
Improving Quotation Attribution with Fictional Character Embeddings. EMNLP (Findings) 2024: 12723-12735- [c46]Gabriel Meseguer-Brocal, Dorian Desblancs, Romain Hennequin:
An Experimental Comparison of Multi-View Self-Supervised Methods for Music Tagging. ICASSP 2024: 1141-1145 - [c45]Viet-Anh Tran, Guillaume Salha-Galvan
, Bruno Sguerra, Romain Hennequin:
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation. RecSys 2024: 486-496 - [c44]Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex:
Psychology-informed Information Access Systems Workshop. WSDM 2024: 1216-1217 - [i39]Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara:
Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution. CoRR abs/2401.16968 (2024) - [i38]Gabriel Meseguer-Brocal, Dorian Desblancs, Romain Hennequin:
An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging. CoRR abs/2404.09177 (2024) - [i37]Darius Afchar, Gabriel Meseguer-Brocal, Romain Hennequin:
Detecting music deepfakes is easy but actually hard. CoRR abs/2405.04181 (2024) - [i36]Yuexuan Kong, Viet-Anh Tran, Romain Hennequin:
STraDa: A Singer Traits Dataset. CoRR abs/2406.04140 (2024) - [i35]Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara:
Improving Quotation Attribution with Fictional Character Embeddings. CoRR abs/2406.11368 (2024) - [i34]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 abs/2406.11380 (2024) - [i33]Yuexuan Kong, Vincent Lostanlen, Gabriel Meseguer-Brocal, Stella Wong, Mathieu Lagrange, Romain Hennequin:
STONE: Self-supervised Tonality Estimator. CoRR abs/2407.07408 (2024) - [i32]Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin, Manuel Moussallam:
From Real to Cloned Singer Identification. CoRR abs/2407.08647 (2024) - [i31]Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation. CoRR abs/2408.16578 (2024) - 2023
- [j7]Dorian Desblancs, Vincent Lostanlen, Romain Hennequin:
Zero-Note Samba: Self-Supervised Beat Tracking. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2922-2934 (2023) - [c43]Harin Lee, Romain Hennequin, Manuel Moussallam:
Understanding individual and collective diversity of cultural consumption through large-scale music listening events. CHR 2023: 356-367 - [c42]Elena V. Epure, Romain Hennequin:
A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries. EACL 2023: 1273-1288 - [c41]Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave:
On the Consistency of Average Embeddings for Item Recommendation. RecSys 2023: 833-839 - [c40]Darius Afchar, Romain Hennequin, Vincent Guigue:
Of Spiky SVDs and Music Recommendation. RecSys 2023: 926-932 - [c39]Bruno Sguerra, Viet-Anh Tran, Romain Hennequin:
Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect. RecSys 2023: 971-977 - [c38]Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Attention Mixtures for Time-Aware Sequential Recommendation. SIGIR 2023: 1821-1826 - [c37]Marion Baranes, Karl Hayek, Romain Hennequin, Elena V. Epure:
Pauzee : Prédiction des pauses dans la lecture d'un texte. CORIA-TALN (1) 2023: 43-55 - [i30]Elena V. Epure, Romain Hennequin:
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries. CoRR abs/2303.06944 (2023) - [i29]Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Attention Mixtures for Time-Aware Sequential Recommendation. CoRR abs/2304.08158 (2023) - [i28]Darius Afchar, Romain Hennequin, Vincent Guigue:
Of Spiky SVDs and Music Recommendation. CoRR abs/2307.01212 (2023) - [i27]Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave:
On the Consistency of Average Embeddings for Item Recommendation. CoRR abs/2308.12767 (2023) - [i26]Bruno Sguerra, Viet-Anh Tran, Romain Hennequin:
Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect. CoRR abs/2311.10635 (2023) - 2022
- [j6]Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam:
Explainability in Music Recommender Systems. AI Mag. 43(2): 190-208 (2022) - [j5]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: 474-495 (2022) - [c36]Giovanni Gabbolini, Romain Hennequin, Elena V. Epure:
Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge. EMNLP 2022: 11401-11415 - [c35]Kongmeng Liew, Vipul Mishra, Yangyang Zhou, Elena V. Epure, Romain Hennequin, Shoko Wakamiya, Eiji Aramaki:
Network Analyses for Cross-Cultural Music Popularity. ISMIR 2022: 298-305 - [c34]Darius Afchar, Romain Hennequin, Vincent Guigue:
Learning Unsupervised Hierarchies of Audio Concepts. ISMIR 2022: 427-436 - [c33]Elena V. Epure, Romain Hennequin:
Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition. LREC 2022: 1408-1417 - [c32]Bruno Sguerra, Viet-Anh Tran, Romain Hennequin:
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. RecSys 2022: 556-561 - [c31]Bruno Sguerra, Marion Baranes, Romain Hennequin, Manuel Moussallam:
Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain. UMAP 2022: 202-211 - [i25]Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam:
Explainability in Music Recommender Systems. CoRR abs/2201.10528 (2022) - [i24]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR abs/2202.00961 (2022) - [i23]Darius Afchar, Romain Hennequin, Vincent Guigue:
Learning Unsupervised Hierarchies of Audio Concepts. CoRR abs/2207.11231 (2022) - [i22]Bruno Sguerra, Viet-Anh Tran, Romain Hennequin:
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. CoRR abs/2210.16226 (2022) - [i21]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR abs/2211.08972 (2022) - 2021
- [j4]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. Neural Networks 142: 1-19 (2021) - [c30]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: 515-531 - [c29]Lenny Renault, Andrea Vaglio, Romain Hennequin:
Singing Language Identification Using a Deep Phonotactic Approach. ICASSP 2021: 271-275 - [c28]Darius Afchar, Vincent Guigue, Romain Hennequin:
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. ICML 2021: 76-86 - [c27]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard:
The Words Remain the Same: Cover Detection with Lyrics Transcription. ISMIR 2021: 714-721 - [c26]Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam:
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. RecSys 2021: 302-309 - [c25]Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. RecSys 2021: 443-452 - [c24]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: 270-272 - [i20]Darius Afchar, Romain Hennequin, Vincent Guigue:
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. CoRR abs/2104.12437 (2021) - [i19]Lenny Renault, Andrea Vaglio, Romain Hennequin:
Singing Language Identification using a Deep Phonotactic Approach. CoRR abs/2105.15014 (2021) - [i18]Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. CoRR abs/2108.01053 (2021) - [i17]Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam:
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. CoRR abs/2108.04655 (2021) - [i16]Elena V. Epure, Romain Hennequin:
A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition. CoRR abs/2108.11857 (2021) - 2020
- [j3]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): 2154 (2020) - [c23]Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin:
Modeling the Music Genre Perception across Language-Bound Cultures. EMNLP (1) 2020: 4765-4779 - [c22]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Audio-Based Detection of Explicit Content in Music. ICASSP 2020: 526-530 - [c21]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Multilingual lyrics-to-audio alignment. ISMIR 2020: 512-519 - [c20]Elena V. Epure, Guillaume Salha, Romain Hennequin:
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. ISMIR 2020: 803-810 - [c19]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Simple and Effective Graph Autoencoders with One-Hop Linear Models. ECML/PKDD (1) 2020: 319-334 - [c18]Darius Afchar, Romain Hennequin:
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. RecSys 2020: 220-229 - [c17]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: 18-21 - [d2]Michel Buffa, Elena Cabrio, Michael Fell, Fabien Gandon, Alain Giboin, Romain Hennequin, Fabrice Jauvat, Elmahdi Korfed, Franck Michel, Johan Pauwels, Guillaume Pellerin, Maroua Tikat, Marco Winckler:
The WASABI RDF Knowledge Graph. Zenodo, 2020
- [d1]Michel Buffa, Elena Cabrio, Michael Fell, Fabien Gandon, Alain Giboin, Romain Hennequin, Fabrice Jauvat, Elmahdi Korfed, Franck Michel, Johan Pauwels, Guillaume Pellerin, Maroua Tikat, Marco Winckler:
The WASABI Dataset and RDF Knowledge Graph. Zenodo, 2020 - [i15]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Simple and Effective Graph Autoencoders with One-Hop Linear Models. CoRR abs/2001.07614 (2020) - [i14]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. CoRR abs/2002.01910 (2020) - [i13]Darius Afchar, Romain Hennequin:
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. CoRR abs/2008.11406 (2020) - [i12]Elena V. Epure, Guillaume Salha, Romain Hennequin:
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. CoRR abs/2009.07755 (2020) - [i11]Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin:
Modeling the Music Genre Perception across Language-Bound Cultures. CoRR abs/2010.06325 (2020)
2010 – 2019
- 2019
- [c16]Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CIKM 2019: 589-598 - [c15]Laure Prétet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio:
Singing Voice Separation: A Study on Training Data. ICASSP 2019: 506-510 - [c14]Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. IJCAI 2019: 3353-3359 - [c13]Elena V. Epure, Anis Khlif, Romain Hennequin:
Leveraging knowledge bases and parallel annotations for music genre translation. ISMIR 2019: 839-846 - [c12]Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Improving Collaborative Metric Learning with Efficient Negative Sampling. SIGIR 2019: 1201-1204 - [i10]Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. CoRR abs/1902.08813 (2019) - [i9]Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CoRR abs/1905.09570 (2019) - [i8]Laure Prétet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio:
Singing voice separation: a study on training data. CoRR abs/1906.02618 (2019) - [i7]Elena V. Epure, Anis Khlif, Romain Hennequin:
Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation. CoRR abs/1907.08698 (2019) - [i6]Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Improving Collaborative Metric Learning with Efficient Negative Sampling. CoRR abs/1909.10912 (2019) - [i5]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. CoRR abs/1910.00942 (2019) - 2018
- [c11]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: 370-375 - [c10]Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam:
Disambiguating Music Artists at Scale with Audio Metric Learning. ISMIR 2018: 622-629 - [c9]Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Audio Based Disambiguation of Music Genre Tags. ISMIR 2018: 645-652 - [i4]Albin Andrew Correya, Romain Hennequin, Mickaël Arcos:
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features. CoRR abs/1808.10351 (2018) - [i3]Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Audio Based Disambiguation Of Music Genre Tags. CoRR abs/1809.07256 (2018) - [i2]Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam:
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net. CoRR abs/1809.07276 (2018) - [i1]Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam:
Disambiguating Music Artists at Scale with Audio Metric Learning. CoRR abs/1810.01807 (2018) - 2017
- [c8]Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Codec independent lossy audio compression detection. ICASSP 2017: 726-730 - 2016
- [c7]Romain Hennequin, François Rigaud:
Long-Term Reverberation Modeling for Under-Determined Audio Source Separation with Application to Vocal Melody Extraction. ISMIR 2016: 206-210 - 2015
- [c6]Simon Leglaive, Romain Hennequin, Roland Badeau:
Singing voice detection with deep recurrent neural networks. ICASSP 2015: 121-125 - 2014
- [c5]Romain Hennequin, Juan José Burred, Simon Maller, Pierre Leveau:
Speech-guided source separation using a pitch-adaptive guide signal model. ICASSP 2014: 6672-6676 - 2013
- [c4]Xabier Jaureguiberry, Gaël Richard, Pierre Leveau, Romain Hennequin, Emmanuel Vincent:
Introducing a simple fusion framework for audio source separation. MLSP 2013: 1-6 - 2011
- [b1]Romain Hennequin:
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). Télécom ParisTech, France, 2011 - [j2]Romain Hennequin, Bertrand David, Roland Badeau:
Beta-Divergence as a Subclass of Bregman Divergence. IEEE Signal Process. Lett. 18(2): 83-86 (2011) - [j1]Romain Hennequin, Roland Badeau, Bertrand David:
NMF With Time-Frequency Activations to Model Nonstationary Audio Events. IEEE Trans. Speech Audio Process. 19(4): 744-753 (2011) - [c3]Romain Hennequin, Bertrand David, Roland Badeau:
Score informed audio source separation using a parametric model of non-negative spectrogram. ICASSP 2011: 45-48 - [c2]Romain Hennequin, Roland Badeau, Bertrand David:
Scale-invariant probabilistic latent component analysis. WASPAA 2011: 129-132 - 2010
- [c1]Romain Hennequin, Roland Badeau, Bertrand David:
NMF with time-frequency activations to model non stationary audio events. ICASSP 2010: 445-448
Coauthor Index
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