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Author

RuiKang OuYang

Observed name: OuYang, RuiKang
Observed institution: University of Cambridge
OpenAlex ID: A5111396317
No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers
2025 · He, Jiajun, Du, Yuanqi, et al. · arXiv (Cornell University) · 24
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BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
2024 · OuYang, RuiKang, Qiang, Bo, et al. · arXiv (Cornell University) · 12
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Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps
2026 · OuYang, RuiKang, Yu, Hanlin, et al. · arXiv (Cornell University) · 4
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A Diffusive Classification Loss for Learning Energy-based Generative Models
2026 · OuYang, RuiKang, Grenioux, Louis, et al. · arXiv (Cornell University) · 4
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Progressive Tempering Sampler with Diffusion
2025 · Rissanen, Severi, OuYang, RuiKang, et al. · arXiv (Cornell University) · 4
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Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
2026 · Yu, Hanlin, OuYang, RuiKang, et al. · arXiv (Cornell University) · 2
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Controlling Dependence in Implicit Generative Models via Spread Mutual Information
2026 · Yu, Jiahao, Liu, Song, et al. · arXiv (Cornell University)
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Bridging Stochastic Flow Maps and Boltzmann Generators with Normalizing Flows
2026 · Grenioux, Louis, OuYang, RuiKang, et al. · arXiv (Cornell University)
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Stochastic Interpolants in Hilbert Spaces
2026 · Yu, James Boran, OuYang, RuiKang, et al. · arXiv (Cornell University)
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Works count: 9
Citation count: 50
H-index: 4
I10-index: 2
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