Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

17 September 2019

Papers citing "Prediction of rare feature combinations in population synthesis: Application of deep generative modelling"

8 / 8 papers shown

Title
A Large Language Model for Feasible and Diverse Population Synthesis Sung Yoo Lim Hyunsoo Yun P. Bansal Dong-Kyu Kim Eui-Jin Kim SyDa 51 0 0 07 May 2025
Generating Spatial Synthetic Populations Using Wasserstein Generative Adversarial Network: A Case Study with EU-SILC Data for Helsinki and Thessaloniki Vanja Falck 52 2 0 28 Jan 2025
Copula-based transferable models for synthetic population generation Pascal Jutras-Dubé Mohammad B. Al-Khasawneh Zhichao Yang Javier Bas Fabian Bastin C. Cirillo 13 3 0 17 Feb 2023
Robustness Analysis of Deep Learning Models for Population Synthesis D. Mensah Godwin Badu-Marfo Bilal Farooq 26 1 0 23 Nov 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis Eui-Jin Kim P. Bansal 25 15 0 01 Aug 2022
Choice modelling in the age of machine learning -- discussion paper Sander van Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 30 88 0 28 Jan 2021
Population synthesis for urban resident modeling using deep generative models M. Johnsen Oliver Brandt Sergio Garrido Francisco Câmara Pereira 24 11 0 13 Nov 2020
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 570 0 19 Mar 2017