Scholar
Samuel Gruffaz
Google Scholar ID: Ndn1EvEAAAAJ
ENS Paris-Saclay
Machine learning
interpretability
longitudinal analysis
Riemmanian geometry
modeling
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Citations
56
H-index
4
i10-index
2
Publications
10
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0
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Publications
6 items
A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Su?cient Convergence Conditions and Mixing Time Analysis under Gaussian Targets
2026
Cited
0
Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
2026
Cited
0
Analysis of kinetic Langevin Monte Carlo under the stochastic exponential Euler discretization from underdamped all the way to overdamped
2025
Cited
0
Personalized Convolutional Dictionary Learning of Physiological Time Series
2025
Cited
0
Riemannian Metric Learning: Closer to You than You Imagine
2025
Cited
0
Geodesic slice sampling on Riemannian manifolds
2023
Cited
1
Resume (English only)
Co-authors
0 total
Co-authors: 0 (list not available)
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