Scholar
Pierre Marion
Google Scholar ID: Q8H5LgIAAAAJ
Inria - Ecole Normale Supérieure
Machine Learning
Deep Learning
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Citations & Impact
All-time
Citations
441
H-index
10
i10-index
11
Publications
18
Co-authors
15
list available
Contact
No contact links provided.
Publications
7 items
Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression
2026
Cited
0
Clustering in Deep Stochastic Transformers
2026
Cited
0
Optimal Stopping in Latent Diffusion Models
2025
Cited
0
Phase Diagram of Dropout for Two-Layer Neural Networks in the Mean-Field Regime
2025
Cited
0
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
2025
Cited
0
Attention-based clustering
2025
Cited
0
Implicit Diffusion: Efficient Optimization through Stochastic Sampling
arXiv.org · 2024
Cited
10
Resume (English only)
Academic Achievements
Insufficient information
Research Experience
- Research faculty at INRIA within the SIERRA team (a joint team between CNRS, Ecole Normale Supérieure and INRIA)
- Supervising multiple PhD and MSc students
Education
- Postdoctoral researcher, 2024-25, EPFL, Advisor: Lénaïc Chizat
- PhD student, Sorbonne Université, Advisors: Gérard Biau and Jean-Philippe Vert
Background
Research interests mainly focus on the theory of deep learning and starting to work on AI for maths. Concerned by climate change.
Miscellany
Strives to fly less and build viable alternatives to frequent intercontinental travel for the research community
Co-authors
15 total
Gérard Biau
Professor, Sorbonne University, Paris
Co-author 2
Co-author 3
Adeline Fermanian
Califrais
Claire Boyer
Université Paris-Saclay
Co-author 6
Yu-Han Wu
Google DeepMind co-advised PhD student, Sorbonne University
Francesco Piccinno
Google DeepMind
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