Scholar
Daniel Paulin
Google Scholar ID: WNn0LaoAAAAJ
Associate Professor, Nanyang Technological University
Bayesian computation
applied probability
machine learning and optimization
data assimilation
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Citations
721
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11
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11
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19
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0
Publications
10 items
Scalable Logistic Gaussian Process Density Regression with Kinetic Langevin Sampling
2026
Cited
0
Theoretical guarantees for stochastic gradient Langevin dynamics
2026
Cited
0
Scalable estimation of VARMA models
2026
Cited
0
Training-Free Generative Sampling via Moment-Matched Score Smoothing
2026
Cited
0
Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities
2026
Cited
0
Infinite-dimensional generative diffusions via Doob's h-transform
2026
Cited
0
A Nonparametric Discrete Hawkes Model with a Collapsed Gaussian-Process Prior
2025
Cited
0
Divide, Interact, Sample: The Two-System Paradigm
2025
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0
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