Yannig Goude
Scholar

Yannig Goude

Google Scholar ID: WZqyA_0AAAAJ
EDF R&D, LMO Université Paris-Saclay
Machine learning
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Citations & Impact
All-time
Citations
2,768
 
H-index
24
 
i10-index
44
 
Publications
20
 
Co-authors
15
list available
Publications
10 items
Latent Inference-Time Guidance of Time Series Foundation Models
2026
Cited
0
GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting
2026
Cited
0
Hedging Memory Horizons for Non-Stationary Prediction via Online Aggregation
2026
Cited
0
Spatio-temporal modelling of electric vehicle charging demand
2026
Cited
0
Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields
2026
Cited
0
Cascaded Transfer: Learning Many Tasks under Budget Constraints
2026
Cited
0
Integrating Complex Covariate Transformations in Generalized Additive Models
2025
Cited
0
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
2025
Cited
0
Resume
Background
  • Research interests include ensemble methods, robust aggregation of experts, non-parametric regression, and machine learning and time series.
Co-authors
8 total
Matteo Fasiolo
Matteo Fasiolo
Senior Lecturer in Statistical Science, University of Bristol
Jean-Michel Poggi
Jean-Michel Poggi
Professor, Lab. Maths Orsay (LMO), Univ. Paris-Saclay & Université Paris, France
Jairo Cugliari
Jairo Cugliari
Université Lumière Lyon 2
Qiwei Yao
Qiwei Yao
London School of Economics
Yohann De Castro
Yohann De Castro
Institut Camille Jordan & Institut Universitaire de France (IUF)
Haeran Cho
Haeran Cho
University of Bristol
Jean-Marc Azaïs
Jean-Marc Azaïs
Institut de mathématiques de toulouse
Alexis Bondu
Alexis Bondu
Orange Labs