Scholar
Benjamin Guedj
Google Scholar ID: q-JTC2sAAAAJ
Inria and University College London (UCL)
Machine learning
Deep learning
Statistical learning theory
Computational statistics
AI
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,694
H-index
24
i10-index
42
Publications
20
Co-authors
96
list available
Publications
12 items
Latent Inference-Time Guidance of Time Series Foundation Models
2026
Cited
0
PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders
2026
Cited
0
A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning
2026
Cited
0
Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
2026
Cited
0
Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help?
2025
Cited
0
RestoreAI - Pattern-based Risk Estimation Of Remaining Explosives
2025
Cited
0
Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks
2025
Cited
0
How good is PAC-Bayes at explaining generalisation?
2025
Cited
0
Load more
Co-authors
16 total
Maxime Haddouche
Inria
John Shawe-Taylor
UCL
Pierre Alquier
ESSEC Business School
Felix Biggs
PhD in Foundational AI from University College London
Arthur Gretton
Gatsby Computational Neuroscience Unit and Google Deepmind
Antonin Schrab
Doctor in Foundational AI, UCL (AI Centre & Gatsby Unit)
Gérard Biau
Professor, Sorbonne University, Paris
Ilmun Kim
Yonsei University
