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Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference.

, , , , and . CoRR, (2023)

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Optimal Control, Numerics, and Applications of Fractional PDEs., , , , , and . CoRR, (2021)Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the dual of Fractional Order Sobolev Spaces., , and . CoRR, (2019)Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics., , , and . CoRR, (2023)Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference., , , , and . CoRR, (2023)Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints., , , and . CoRR, (2021)Fractional Deep Neural Network via Constrained Optimization., , , and . CoRR, (2020)Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows., , , , and . ISC Workshops, volume 12761 of Lecture Notes in Computer Science, page 23-39. Springer, (2021)A Neural Network Approach for Stochastic Optimal Control., , and . SIAM J. Sci. Comput., 46 (5): 535- (2024)Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case., , , and . CoRR, (2020)Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints., , and . CoRR, (2019)