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Found 4 papers, 2 papers with code
Reflected Schrödinger Bridge for Constrained Generative Modeling
Diffusion models have become the go-to method for large-scale generative models in real-world applications.
Relative Arbitrage Opportunities in an Extended Mean Field System
We establish a conditional McKean-Vlasov system to study the market dynamics coupled with investors.
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
We show that optimizing the transport cost improves the performance and the proposed algorithm achieves the state-of-the-art result in healthcare and environmental data while exhibiting the advantage of exploring both temporal and feature patterns in probabilistic time series imputation.
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
We thereby intend to obtain diffusion models that generalize across different resolution levels and improve the efficiency of the training process.
