Gefan Yang

Gefan Yang

Ph.D. Fellow

Department of Computer Science, University of Copenhagen

News

  1. Conditioning Surface Shape Processes with Neural Operators was accepted to GSI 2025.

  2. Neural Guided Diffusion Bridges was accepted to ICML 2025.

  3. Infinite-dimensional Diffusion Bridge Simulation via Operator Learning was accepted to AISTATS 2025.

...

  1. Conditioning Non-linear and Infinite-dimensional Diffusion Processes was accepted to NeurIPS 2024.

About Me

I am a Ph.D. student at the Department of Computer Science, University of Copenhagen, under the supervision of Prof. Stefan Sommer. My research interests are in the statistical machine learning and stochastic processes.

Research Areas

  • Statistical machine learning: Bayesian inference, parameter estimations.
  • Stochastic Processes: diffusion processes, stochastic differential equations.
  • Deep Learning: diffusion models, neural differential equations.

Publications

  1. Conditioning Surface Shape Processes with Neural Operators
    Jingchao Zhou, Gefan Yang, Stefan Horst Sommer
    Geometric Science of Information, Lecture Notes in Computer Science 16033:188-197, 2025.
    CodeProceedings
  2. Neural Guided Diffusion Bridges
    Gefan Yang, Frank van der Meulen, Stefan Sommer
    Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71210-71230, 2025.
    PDFCodeProceedings
  3. Infinite-dimensional Diffusion Bridge Simulation via Operator Learning
    Gefan Yang, Elizabeth L. Baker, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer
    Proceedings of the 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3556-3564, 2025.
    PDFCodeProceedings
...
  1. Conditioning Non-linear and Infinite-dimensional Diffusion Processes
    Elizabeth L. Baker, Gefan Yang, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer
    Advances in Neural Information Processing Systems 37, 10801-10826, 2024.
    PDFCodePageSpotlight
  2. A Denoising Diffusion Model for Fluid Field Prediction
    Gefan Yang, Stefan Sommer
    NeurIPS 2023 Workshop on Diffusion Models.
    PDFCodePage

Preprints

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  1. Hyperiax and Phylogenetic Inference from Shape Data
    Gefan Yang, Marcus Teller, Christy Anna Hipsley, Rasmus Nielsen, Stefan Sommer
    arXiv preprint, arXiv:2606.26974
    PDFCodearXiv
  2. Neural Backward Filtering Forward Guiding
    Gefan Yang, Frank van der Meulen, Stefan Sommer
    arXiv preprint, arXiv:2601.23030
    PDFCodearXiv
  3. Stochastics of Shapes and Kunita Flows
    Stefan Sommer, Gefan Yang, Elizabeth L. Baker
    arXiv preprint, arXiv:2512.11676
    PDFarXiv
  4. Parameter Inference via Differentiable Diffusion Bridge Importance Sampling
    Nicklas Boserup, Gefan Yang, Michael Lind Severinsen, Christy Anna Hipsley, Stefan Sommer
    arXiv preprint, arXiv:2411.08993
    PDFarXiv