Étienne Goffinet

According to our database, Étienne Goffinet authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor.

Étienne Goffinet, Raghvendra Mall, Ankita Singh, Rahul Kaushik, Filippo Castiglione

CoRR, 2024

2023

Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning.

Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra

CoRR, 2023

The Falcon Series of Open Language Models.

Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Mérouane Debbah, Étienne Goffinet, Daniel Hesslow, Julien Launay, Quentin Malartic, Daniele Mazzotta, Badreddine Noune, Baptiste Pannier, Guilherme Penedo

CoRR, 2023

Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues.

Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant

Comput. Stat. Data Anal., 2022

2021

Multi-Block Clustering and Analytical Visualization of Massive Time Series from Autonomous Vehicle Simulation. (Clustering Multi-Blocs et Visualisation Analytique de Données Séquentielles Massives Issues de Simulations du Véhicule Autonome).

Étienne Goffinet

PhD thesis, 2021

Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation.

Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi

CoRR, 2020

Autonomous Driving Validation with Model-Based Dictionary Clustering.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Clustering de séries temporelles par construction de dictionnaire.

Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi

Proceedings of the Extraction et Gestion des Connaissances, 2020