Mikaela Keller

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 8

Top Venues

CoRR

EMNLP

EMNLP (Findings)

*SEM@ACL

École Polytechnique Fédérale de Lausanne, Écublens, Vaud, Switzerland (PHD)

Education History

École Polytechnique Fédérale de Lausanne, Écublens, Vaud, Switzerland

PHD

Publications

Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller, Dorien Herremans
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. CoRR (2024)
Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure. CoRR (2024)
Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller
Fair Without Leveling Down: A New Intersectional Fairness Definition. EMNLP (2023)
Bastien Liétard, Mikaela Keller, Pascal Denis
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models. CoRR (2023)
Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller
How to Capture Intersectional Fairness. CoRR (2023)
Bastien Liétard, Mikaela Keller, Pascal Denis
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models. *SEM@ACL (2023)
Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet
Fair NLP Models with Differentially Private Text Encoders. EMNLP (Findings) (2022)
Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet
Fair NLP Models with Differentially Private Text Encoders. CoRR (2022)
Pauline Wauquier, Mikaela Keller
Metric learning for graph-based label propgation. CoRR (2015)
Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI (2012)
Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data CoRR (2012)
Antonino Freno, Mikaela Keller, Marc Tommasi
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS (2012)
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, Catherine Larson, Rebecca Noe, Anya Okhmatovskaia, Karen Olson, Marc Paladini, Matthew Scholer, Carol Sniegoski, David Thompson, Bill Lober
Developing syndrome definitions based on consensus and current use. J. Am. Medical Informatics Assoc. 17 (5) (2010)
Mikaela Keller, Clark C. Freifeld, John S. Brownstein
Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinform. 10 (2009)
Oren Glickman, Ido Dagan, Walter Daelemans, Mikaela Keller, Samy Bengio
Investigating Lexical Substitution Scoring for Subtitle Generation. CoNLL (2006)
Mikaela Keller, Samy Bengio, Siew Yeung Wong
Benchmarking Non-Parametric Statistical Tests. NIPS (2005)
Mikaela Keller, Samy Bengio
A Neural Network for Text Representation. ICANN (2) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mikaela Keller