.. _Publications:

Publications
============

**Initial SINr paper, 2021**


-  Thibault Prouteau, Victor Connes, Nicolas Dugué, Anthony Perez, Jean-Charles Lamirel, et al.. SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin!. Advances in Intelligent Data Analysis XIX, 19th International Symposium on Intelligent Data Analysis, IDA 2021, Apr 2021, Porto, Portugal. pp.325-337, ⟨\ `10.1007/978-3-030-74251-5_26 <https://dx.doi.org/10.1007/978-3-030-74251-5_26>`__\ ⟩.
   `⟨hal-03197434⟩ <https://hal.science/hal-03197434>`__

**Interpretability of SINr embedding**


-  Thibault Prouteau, Nicolas Dugué, Nathalie Camelin, Sylvain Meignier. Are Embedding Spaces Interpretable? Results of an Intrusion Detection Evaluation on a Large French Corpus. LREC 2022, Jun 2022, Marseille, France. `⟨hal-03770444⟩ <https://hal.science/hal-03770444>`__

**Sparsity of SINr embedding**


-  Simon Guillot, Thibault Prouteau, Nicolas Dugué. Sparser is better: one step closer to word embedding interpretability. IWCS 2023, Nancy, France. `⟨hal-04321407⟩ <https://hal.science/hal-04321407>`__

**Filtering dimensions of SINr embedding**


-  Anna Béranger, Nicolas Dugué, Simon Guillot, Thibault Prouteau. Filtering communities in word co-occurrence networks to foster the emergence of meaning. Complex Networks 2023, Menton, France. `⟨hal-04398742v1⟩ <https://hal.science/hal-04398742v1>`__