Variational Inference with NoFAS: Normalizing Flow with Adaptive
Surrogate for Computationally Expensive Models

Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models

28 August 2021

Daniele E. Schiavazzi

Papers citing "Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models"

7 / 7 papers shown

Title
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 70 0 0 10 Sep 2024
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 28 7 0 24 Jul 2023
LINFA: a Python library for variational inference with normalizing flow and annealing Yu Wang Emma R. Cobian Jubilee Lee Fang Liu J. Hauenstein Daniele E. Schiavazzi BDL AI4CE 26 0 0 10 Jul 2023
Tensorizing flows: a tool for variational inference Y. Khoo M. Lindsey Renana Keydar DRL 20 4 0 03 May 2023
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation Emma R. Cobian J. Hauenstein Fang Liu Daniele E. Schiavazzi 19 4 0 01 Feb 2022
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale Michael G. Kapteyn Jacob V. R. Pretorius Karen E. Willcox 34 214 0 10 Dec 2020
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,267 0 09 Jun 2012