Étienne Goffinet

18 papers A 1B 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A distributed inference algorithm for Dirichlet process mixture models with exponential family components. Neurocomputing Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2025	—	`conf`	Batch Tiling on Attention: Efficient Mixture of Experts Training on Wafer-Scale Processors. SC Workshops Daria Soboleva, Étienne Goffinet, Hui Zeng, Sangamesh Ragate, Elif Albuz, Natalia Vassilieva
2025	J	`jnl`	DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty. CoRR Étienne Goffinet, Sen Yan, Fabrizio Gabellieri, Laurence Jennings, Lydia Gkoura, Filippo Castiglione, Ryan Young, Idir Malki, Ankita Singh, Thomas Launey
2025	J	`jnl`	DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits. CoRR Sen Yan, Étienne Goffinet, Fabrizio Gabellieri, Ryan Young, Lydia Gkoura, Laurence Jennings, Filippo Castiglione, Thomas Launey
2025	J	`jnl`	DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals. CoRR Sen Yan, Fabrizio Gabellieri, Étienne Goffinet, Filippo Castiglione, Thomas Launey
2025	J	`jnl`	PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets. CoRR Étienne Goffinet, Shane Bergsma, Avraham Sheinin, Natalia Vassilieva, Shaheer Muhammad, Preslav Nakov, Gurpreet Gosal
2024	A	`conf`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2024	J	`jnl`	MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor. CoRR Étienne Goffinet, Raghvendra Mall, Ankita Singh, Rahul Kaushik, Filippo Castiglione
2023	J	`jnl`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2023	—	`conf`	Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues. EGC Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah
2023	J	`jnl`	The Falcon Series of Open Language Models. CoRR 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
2022	J	`jnl`	Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Comput. Stat. Data Anal. Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
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
2021	B	`conf`	Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2021	—	`conf`	Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. AALTD@ECML/PKDD Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2020	—	`conf`	Autonomous Driving Validation with Model-Based Dictionary Clustering. ECML/PKDD (4) Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	—	`conf`	Clustering de séries temporelles par construction de dictionnaire. EGC Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	J	`jnl`	Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. CoRR Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi