Reda Khoufache
PhD candidate | Machine learning scientist
PhD candidate | Machine learning scientist
2024:
Les 29èmes Rencontres de la Société Francophone de Classification (SFC). September 2024, Centre International de Rencontres Mathématiques (CIRM), Marseille, France.
Poster at the Nordic Probabilistic AI School (ProbAI). June 2024, Aalborg University, Copenhagen, Denmark.
La Maison des Sciences Numériques. June 2024, MSH Paris Nord}{Saint-Denis, France.
Les 55èmes Journées de Statistique de la SFDS. May 2024, University of Bordeaux, Bordeaux, France.
Invited Speaker at Viva Technology. May 2024, Paris Expo Porte de Versailles, Paris, France.
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). May 2024, Taipei International Convention Centre, Taipei, Taiwan.
SIAM International Conference on Data Mining (SDM24). April 2024, Westin Houston, Memorial City, Houston, United States.
Poster and Presentation at PhD Day - DIM AI4IDF. March 2024, Inria, Paris, France.
2023:
Poster at the HCERES Evaluation. December 2023, Laboratoire d'Informatique de Paris Nord (LIPN), Villetaneuse, France.
Les 28èmes Rencontres de la Société Francophone de Classification (SFC). July 2023, University of Strasbourg, Strasbourg, France.
Poster at the PhD Students' Day in STIC. June 2023, AgroParisTech, Palaiseau, France.
Poster at the Opening Ceremony of DIM AI4IDF. February 2023, Sorbonne University, Paris, France.
Poster at the Conference Extraction et Gestion des Connaissances (EGC). January 2023, Université Lumière Lyon, Lyon, France.
2022:
Workshop at the International Conference on Data Mining (ICDM). November 2022, Hilton Orlando, Florida, United States.
3rd Workshop on Large-scale Industrial Time Series Analysis (LITSA 2023). Hosted by the IEEE ICDM 2023 conference, December 4, 2023, in Shanghai, China.
Paris Generative AI Autumn School, 21-25 October 2024, Palaiseau, France.
Nordic Probabilistic AI School, 17-21 June 2024, Copenhagen, Denmark.
Gestion et traitement intelligent des écosystèmes de graphes de connaissances, 16 et 17 janvier 2023, Lyon, France.
2024:
Eline Pot (off-cycle internship): Deep clustering of multi-modal data, LIPN.
2023:
Anisse Belhadj (off-cycle internship): Distributed multiple Co-clustering, David Lab.