Publications

Conferences

• Recommender system in a non-stationary context: recommending job ads in pandemic times, by Guillaume Bied, Solal Nathan, Elia Perennes, Victor Alfonso Naya, Philippe Caillou, Bruno Crepon, Christophe Gaillac and Michèle Sebag, presented at ECML (Poster), 2022.
• On the impact of overfitting in learning to rank using a margin loss: a case study in job recommender systems by Guillaume Bied and Solal Nathan, poster presented at Baylearn and JDSE the same year (Poster), 2022.

Scientific mediation

• Introduction à l’Apprentissage Automatique, Revue 3EI, 2022
• Word Embedding Introduction, Revue 3EI, 2022

Internship reports

• M2 Internship: Combatting Unemployment: Data, Recommendations and Fairness, 2022.
• ARPE: 3D Reconstruction using Implicit Function Methods: PiFU, NeRF, Novel View Synthesis, Neural Rendering and more presented as a Poster, 2021.
• M1 Internship: Differential Privacy applied to Crowd Density Estimation, presented as a Poster, 2020.