Daniel Paulin
Associate Professor
Works on Monte Carlo simulation methods, Bayesian statistics, diffusion models and uncertainty quantification.
Daniel Paulin's lab at NTU works on probabilistic & causal inference, learning theory & optimization and image & video generation. 4 papers since 2023.
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 2 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference0 papers
- Learning theory & optimization0 papers
- Image & video generation0 papers
- simulation methods0 papers
- bayesian statistics0 papers
Paper list
From the lab homepage.
20242 papers
- SIAM Journal on Numerical AnalysisContraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
- ESAIM: Mathematical Modelling and Numerical AnalysisContraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
20232 papers
- The American StatisticianConsultancy Style Dissertations in Statistics and Data Science: Why and How
- Statistics and ComputingRandomised Time Riemannian Manifold Hamiltonian Monte Carlo
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
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