Pages that link to "Item:Q2246277"
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The following pages link to Stein variational gradient descent with local approximations (Q2246277):
Displaying 11 items.
- A stochastic version of Stein variational gradient descent for efficient sampling (Q782348) (← links)
- Particle-based energetic variational inference (Q2058750) (← links)
- Bayesian learning via neural Schrödinger-Föllmer flows (Q2104005) (← links)
- Surrogate modeling for Bayesian inverse problems based on physics-informed neural networks (Q2683056) (← links)
- Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime (Q4627155) (← links)
- VI-DGP: a variational inference method with deep generative prior for solving high-dimensional inverse problems (Q6053024) (← links)
- Stein variational gradient descent with local approximations (Q6365208) (← links)
- A MCMC method based on surrogate model and Gaussian process parameterization for infinite Bayesian PDE inversion (Q6553787) (← links)
- Efficient Bayesian physics informed neural networks for inverse problems via ensemble Kalman inversion (Q6553819) (← links)
- Bayesian model error method for the passive inverse scattering problem (Q6557680) (← links)
- Adaptive operator learning for infinite-dimensional Bayesian inverse problems (Q6669407) (← links)
