Guillaume Staerman

Automatic Text Evaluation through the Lens of Wasserstein Barycenters

Guillaume Staerman, Chloé Clavel, Pablo Piantanida · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · 21 citations · Full text

Computing, Computer Science, Computational Linguistics +16

Functional Isolation Forest

Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon et al. · arXiv (Cornell University) · 2019 · 18 citations · Full text

Computing, Computer Science, Machine Learning +15

Learning Disentangled Textual Representations via Statistical Measures of Similarity

Pierre Colombo, Guillaume Staerman, Nathan Noiry et al. · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 2022 · 18 citations · Full text

Computing, Computer Science, Machine Learning +16

When OT meets MoM: Robust estimation of Wasserstein Distance

Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi et al. · arXiv (Cornell University) · 2020 · 16 citations · Full text

Computing, Computer Science, Data Mining +13

Functional anomaly detection: a benchmark study

Guillaume Staerman, Eric Adjakossa, Pavlo Mozharovskyi et al. · International Journal of Data Science and Analytics · 2022 · 12 citations · Full text

Computing, Computer Science, Systems Engineering +9