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RuiKang OuYang
Scholar

RuiKang OuYang

Google Scholar ID: 8G4PuYoAAAAJ
PhD student, University of Cambridge
Sampling MethodsGenerative ModelsAI4Science
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
33
 
H-index
3
 
i10-index
1
 
Publications
5
 
Co-authors
11
list available
Contact
Emailro352@cam.ac.ukCVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
5 items
Stochastic Interpolants in Hilbert Spaces
2026
Cited
0
A Diffusive Classification Loss for Learning Energy-based Generative Models
2026
Cited
0
Progressive Tempering Sampler with Diffusion
2025
Cited
0
No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers
2025
Cited
0
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
2024
Cited
1
Resume (English only)
Co-authors
11 total
José Miguel Hernández-Lobato
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Jiajun He
Jiajun He
PhD Student, University of Cambridge
Bo Qiang
Bo Qiang
Institute of Protein Design, University of Washington
Shreyas Padhy
Shreyas Padhy
University of Cambridge
Yuanqi Du
Yuanqi Du
PhD Student, Cornell University
Dinghuai Zhang 张鼎怀
Dinghuai Zhang 张鼎怀
Microsoft Research; Mila
Wenlin Chen
Wenlin Chen
University of Cambridge, Max Planck Institute for Intelligent Systems
Arno Solin
Arno Solin
Associate Professor in Machine Learning, Aalto University

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