On The Use Of Surrogate Models For Bayesian Inverse Problems

On the Use of (Linear) Surrogate Models for Bayesian Inverse Problems

Society for Industrial and Applied Mathematics

Omar Ghattas - Reduced Basis Neural Network Surrogates for Bayesian Inversion and Optimal...

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Variational Bayesian Approximation for Linear Inverse Problems with a hierarchical prior models (Q)

Simon Weissmann - Surrogate based one-shot formulation for inverse problems and optimization

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Carl Henrik Ek - Modulated surrogate models for Bayesian Optimization

Tübingen Machine Learning

Carl Henrik Ek - Modulating surrogates for bayesian optimization

Owen Madin - Future directions in parameterization: Bayesian inference with surrogate modeling

Open Force Field Initiative

Surrogate modeling and Bayesian optimization (Part 2)

MIT Plasma Science and Fusion Center

Dr. Peng Chen | Projected variational inference for high-dimensional Bayesian inverse problems

INI Seminar Room 1

Prof. Claudia Schillings | Kirk Lecture: Uncertainty quantification for Bayesian inverse problems...

Isaac Newton Institute for Mathematical Sciences

Surrogate models

Niloofar In Quebec

Daniel Zhengyu Huang - Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Surrogate modeling and Bayesian optimization

MIT Plasma Science and Fusion Center

Bayesian Inference and Uncertainty Quantification for Inverse Problems

Qin Li - Mean field theory in Inverse Problems: from Bayesian inference to overparameterization...

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Nicholas Nelsen - Noisy linear operator learning as an inverse problem

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Faster Surrogate Model Simulation - Accelerating Inverse PDE Problems

Surrogate Modeling Hazard/Response/Risk Assessment Talk 2: Big Data & ML for Improved Modeling

NHERI DesignSafe

Niklas Linde - Inverse Problems: a Bayesian Perspective (Perspective)

Cargèse 2018 4th Summer School SPIC