publications

(*) denotes equal contribution. A full list of my publications can be found in my Google Scholar

2026

Preprint

Controlling Dependence in Implicit Generative Models via Spread Mutual Information

Jiahao Yu, Song Liu, and 1 more author , RuiKang OuYang

2026

@misc{yu2026controllingdependenceimplicitgenerative,
  title = {Controlling Dependence in Implicit Generative Models via Spread Mutual Information},
  author = {Yu, Jiahao and Liu, Song and Hernández-Lobato, José Miguel and OuYang, RuiKang},
  year = {2026},
  eprint = {2610.10021},
  archiveprefix = {arXiv},
  primaryclass = {stat.ML},
  url = {https://arxiv.org/abs/2610.10021},
  booktitle = {Preprint},
}

Preprint

Bridging Stochastic Flow Maps and Boltzmann Generators with Normalizing Flows

Louis Grenioux, RuiKang OuYang, and Luhuan Wu

2026

arXiv Bib

@misc{grenioux2026bridgingstochasticflowmaps,
  title = {Bridging Stochastic Flow Maps and Boltzmann Generators with Normalizing Flows},
  author = {Grenioux, Louis and OuYang, RuiKang and Wu, Luhuan},
  year = {2026},
  eprint = {2609.31978},
  archiveprefix = {arXiv},
  primaryclass = {stat.ML},
  url = {https://arxiv.org/abs/2609.31978},
  booktitle = {Preprint},
}

NeurIPS

Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps

RuiKang OuYang, Hanlin Yu, Xinyue Ai, and 7 more authors

In Advances in Neural Information Processing Systems (NeurIPS), 2026

Also accepted at SPIGM@ICML.

arXiv Bib PROJECT PAGE

@inproceedings{ouyang2026fewstep,
  title = {Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps},
  author = {OuYang, RuiKang and Yu, Hanlin and Ai, Xinyue and He, Yutong and Boffi, Nicholas Matthew and Ravikumar, Pradeep and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel and Simchowitz, Max and Miller, Benjamin Kurt and Chehab, Omar},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://openreview.net/forum?id=mfdTHHRIid},
  note = {Also accepted at SPIGM@ICML.},
}

NeurIPS

Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences

Hanlin Yu, RuiKang OuYang, Partha Kaushik, and 3 more authors

In Advances in Neural Information Processing Systems (NeurIPS), 2026

arXiv Bib

@inproceedings{yu2026learningenergybasedmodelsstochastic,
  title = {Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences},
  author = {Yu, Hanlin and OuYang, RuiKang and Kaushik, Partha and Klami, Arto and Gutmann, Michael U. and Chehab, Omar},
  year = {2026},
  eprint = {2605.26850},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2605.26850},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
}

ICML

A Diffusive Classification Loss for Learning Energy-based Generative Models

RuiKang OuYang^*, Louis Grenioux^*, and José Miguel Hernández-Lobato

In International Conference on Machine Learning, 2026

* arXiv Bib Code

*denotes equal contribution. Order is randomly assigned.

@inproceedings{ouyang2026diffusiveclassificationlosslearning,
  title = {A Diffusive Classification Loss for Learning Energy-based Generative Models},
  author = {OuYang, RuiKang and Grenioux, Louis and Hernández-Lobato, José Miguel},
  year = {2026},
  eprint = {2601.21025},
  booktitle = {International Conference on Machine Learning},
  archiveprefix = {arXiv},
  primaryclass = {stat.ML},
  url = {https://arxiv.org/abs/2601.21025},
  star = {\* denotes equal contribution. Order is randomly assigned.},
}

Preprint

Stochastic Interpolants in Hilbert Spaces

James Boran Yu, RuiKang OuYang, Julien Horwood, and 1 more author

2026

arXiv Bib

@misc{yu2026stochasticinterpolantshilbertspaces,
  title = {Stochastic Interpolants in Hilbert Spaces},
  author = {Yu, James Boran and OuYang, RuiKang and Horwood, Julien and Hernández-Lobato, José Miguel},
  year = {2026},
  eprint = {2602.01988},
  booktitle = {Preprint},
  archiveprefix = {arXiv},
  primaryclass = {stat.ML},
  url = {https://arxiv.org/abs/2602.01988}
}

2025

ICML

Progressive Tempering Sampler with Diffusion

RuiKang OuYang^*, Severi Rissanen^*, Jiajun He, and 4 more authors

In International Conference on Machine Learning, 2025

* arXiv Bib Code

*denotes equal contribution. Order decided by the winner of rock-paper-scissors (3:0): Severi (✋✋👊) v.s. ME (👊👊✂️).

@inproceedings{rissanen2025progressive,
  title = {Progressive Tempering Sampler with Diffusion},
  author = {OuYang, RuiKang and Rissanen, Severi and He, Jiajun and Chen, Wenlin and Heinonen, Markus and Solin, Arno and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
  booktitle = {International Conference on Machine Learning},
  year = {2025},
  organization = {PMLR},
  star = {\* denotes equal contribution. Order decided by the winner of rock-paper-scissors (3:0): Severi (✋✋👊) v.s. ME (👊👊✂️).}
}

FPI@ICLR

No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers

Jiajun He^*, Yuanqi Du^*, Francisco Vargas, and 5 more authors

In Workshop on Frontiers in Probabilistic Inference: Sampling Meets Learning @ ICLR, 2025

arXiv Bib

@inproceedings{he2025tricktreatpursuitschallenges,
  title = {No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers},
  author = {He, Jiajun and Du, Yuanqi and Vargas, Francisco and Zhang, Dinghuai and Padhy, Shreyas and OuYang, RuiKang and Gomes, Carla and Hernández-Lobato, José Miguel},
  booktitle = {Workshop on Frontiers in Probabilistic Inference: Sampling Meets Learning @ ICLR},
  year = {2025},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2502.06685},
}

TMLR

BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching

RuiKang OuYang^*, Bo Qiang^*, and José Miguel Hernández-Lobato

In Transactions on Machine Learning Research, 2025

* arXiv Bib Code Poster

*denotes equal contribution. Also published in Workshop on Machine Learning and the Physical Sciences @ NeurIPS 2024; and Workshop on ML4Molecules @ ELLIS 2024 (Oral)

@inproceedings{ouyang2025bnemboltzmannsamplerbased,
  title = {BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching},
  author = {OuYang, RuiKang and Qiang, Bo and Hernández-Lobato, José Miguel},
  year = {2025},
  eprint = {2409.09787},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2409.09787},
  booktitle = {Transactions on Machine Learning Research},
  star = {\* denotes equal contribution. Also published in Workshop on Machine Learning and the Physical Sciences @ NeurIPS 2024; and Workshop on ML4Molecules @ ELLIS 2024 (Oral)}
}

2024

MPhil Thesis

Energy-Based Diffusion Neural Sampler for Boltzmann Densities

RuiKang OuYang

In University of Cambridge: Mphil Thesis for Machine Learning and Machine Intelligence, 2024

Bib HTML

@inproceedings{ouyang_mphil_thesis,
  title = {Energy-Based Diffusion Neural Sampler for Boltzmann Densities},
  author = {OuYang, RuiKang},
  booktitle = {University of Cambridge: Mphil Thesis for Machine Learning and Machine Intelligence},
  year = {2024},
  primaryclass = {cs.LG},
  url = {https://www.mlmi.eng.cam.ac.uk/files/2023-2024/ouyang_energy-based_2024.pdf},
  paper = {https://www.mlmi.eng.cam.ac.uk/files/2023-2024/ouyang_energy-based_2024.pdf},
}

2023

CNA

L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders

RuiKang OuYang, Andrew Elliott, Stratis Limnios, and 2 more authors

In International Conference on Complex Networks and Their Applications, 2023

arXiv Bib Code

@inproceedings{ouyang2023l2g2g,
  title = {L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders},
  author = {OuYang, RuiKang and Elliott, Andrew and Limnios, Stratis and Cucuringu, Mihai and Reinert, Gesine},
  booktitle = {International Conference on Complex Networks and Their Applications},
  pages = {400--412},
  year = {2023},
  organization = {Springer},
}