Gefan Yang

Ph.D. Fellow
Department of Computer Science, University of Copenhagen
gy (at) di (dot) ku (dot) dk

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

Neural Guided Diffusion Bridges

Gefan Yang, Frank van der Meulen, Stefan Sommer

International Conference on Machine Learning (ICML), 2025. ICML

PDF Code Poster

Infinite-dimensional Diffusion Bridge Simulation via Operator Learning

Gefan Yang, Elizabeth L. Baker, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer

International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. AISTATS

PDF Code Poster

Conditioning Non-linear and Infinite-dimensional Diffusion Processes

Elizabeth L. Baker, Gefan Yang, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer

The Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. NeurIPS

PDF Code Spotlight

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