A Neural Network for Text Representation. - Mikaela Keller; Samy Bengio (ICANN (2), 2005)

Benchmarking Non-Parametric Statistical Tests. - Mikaela Keller; Samy Bengio; Siew Yeung Wong (NIPS, 2005)

Investigating Lexical Substitution Scoring for Subtitle Generation. - Oren Glickman; Ido Dagan; Walter Daelemans; Mikaela Keller; Samy Bengio (CoNLL, 2006)

Machine Learning Approaches to Text Representation using Unlabeled Data. (Approches d'apprentissage automatiques pour le représentation de textes à travers l'utilisation de données non-étiquetées). - Mikaela Keller (2006)

Automated vocabulary discovery for geo-parsing online epidemic intelligence. - Mikaela Keller; Clark C. Freifeld; John S. Brownstein (BMC Bioinform., 2009)

Developing syndrome definitions based on consensus and current use. - Wendy Webber Chapman; John N. Dowling; Atar Baer; David L. Buckeridge; Dennis Cochrane; Michael A. Conway; Peter L. Elkin; Jeremy U. Espino; Julia E. Gunn; Craig M. Hales; Lori Hutwagner; Mikaela Keller; et al. (J. Am. Medical Informatics Assoc., 2010)

Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. - Antonino Freno; Mikaela Keller; Marc Tommasi (NIPS, 2012)

Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. - Antonino Freno; Mikaela Keller; Gemma C. Garriga; Marc Tommasi (UAI, 2012)

Metric learning for graph-based label propgation. - Pauline Wauquier; Mikaela Keller (CoRR, 2015)

Fair NLP Models with Differentially Private Text Encoders. - Gaurav Maheshwari 004; Pascal Denis; Mikaela Keller; Aurélien Bellet (EMNLP (Findings), 2022)

Fair Without Leveling Down: A New Intersectional Fairness Definition. - Gaurav Maheshwari 004; Aurélien Bellet; Pascal Denis; Mikaela Keller (EMNLP, 2023)

A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models. - Bastien Liétard; Mikaela Keller; Pascal Denis (*SEM@ACL, 2023)

How to Capture Intersectional Fairness. - Gaurav Maheshwari 004; Aurélien Bellet; Pascal Denis; Mikaela Keller (CoRR, 2023)

To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models. - Bastien Liétard; Pascal Denis; Mikaela Keller (EMNLP, 2024)

Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure. - Gaurav Maheshwari 004; Aurélien Bellet; Pascal Denis; Mikaela Keller (CoRR, 2024)

Analyzing Byte-Pair Encoding on Monophonic and Polyphonic Symbolic Music: A Focus on Musical Phrase Segmentation. - Dinh-Viet-Toan Le; Louis Bigo; Mikaela Keller (CoRR, 2024)

Recipient Profiling: Predicting Characteristics from Messages. - Martin Borquez; Mikaela Keller; Michaël Perrot; Damien Sileo (CoRR, 2024)

Evaluating Interval-based Tokenization for Pitch Representation in Symbolic Music Analysis. - Dinh-Viet-Toan Le; Louis Bigo; Mikaela Keller (CoRR, 2025)

Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: A Survey. - Dinh-Viet-Toan Le; Louis Bigo; Dorien Herremans; Mikaela Keller (ACM Comput. Surv., 2025)