Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models

17 June 2024

Papers citing "Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models"

7 / 7 papers shown

Title
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 39 28 0 06 Feb 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 209 30,069 0 01 Mar 2022
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Indro Spinelli Simone Scardapane A. Uncini MedIm AI4CE 55 146 0 06 May 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 56 1,010 0 07 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 392 19,991 0 30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 544 28,901 0 09 Sep 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 397 16,962 0 20 Dec 2013