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Variational Inference for Nonlinear Inverse Problems via Neural Net
  Kernels: Comparison to Bayesian Neural Networks, Application to Topology
  Optimization

Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization

7 May 2022
Vahid Keshavarzzadeh
Robert M. Kirby
A. Narayan
    BDL
ArXivPDFHTML

Papers citing "Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization"

4 / 4 papers shown
Title
Projected Stein Variational Gradient Descent
Projected Stein Variational Gradient Descent
Peng Chen
Omar Ghattas
BDL
50
68
0
09 Feb 2020
A Stein variational Newton method
A Stein variational Newton method
Gianluca Detommaso
Tiangang Cui
Alessio Spantini
Youssef Marzouk
Robert Scheichl
61
114
0
08 Jun 2018
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
84
271
0
24 Feb 2014
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
1