A Deep Generative Framework for Joint Households and Individuals Population Synthesis
Fuente:
arXiv
Saved in:
| Main Authors: | Qian, Xiao, Gangwal, Utkarsh, Dong, Shangjia, Davidson, Rachel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Contrastive Learning for Feature Alignment: Insights from Housing-Household Relationship Inference
by: Qian, Xiao, et al.
Published: (2025)
by: Qian, Xiao, et al.
Published: (2025)
A Joint Synthetic Housing-Household Inventory
by: Qian, Xiao, et al.
Published: (2026)
by: Qian, Xiao, et al.
Published: (2026)
PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction
by: Qian, Xiao, et al.
Published: (2026)
by: Qian, Xiao, et al.
Published: (2026)
Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population
by: Neekhra, Bhavesh, et al.
Published: (2023)
by: Neekhra, Bhavesh, et al.
Published: (2023)
Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines
by: Salvador, Erika Lynet
Published: (2024)
by: Salvador, Erika Lynet
Published: (2024)
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
by: Dai, Jessica, et al.
Published: (2025)
by: Dai, Jessica, et al.
Published: (2025)
General Geospatial Inference with a Population Dynamics Foundation Model
by: Agarwal, Mohit, et al.
Published: (2024)
by: Agarwal, Mohit, et al.
Published: (2024)
Monotone Individual Fairness
by: Bechavod, Yahav
Published: (2024)
by: Bechavod, Yahav
Published: (2024)
Rethinking Individual Fairness in Deepfake Detection
by: Hou, Aryana, et al.
Published: (2025)
by: Hou, Aryana, et al.
Published: (2025)
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
by: Kuo, Ming, et al.
Published: (2024)
by: Kuo, Ming, et al.
Published: (2024)
Trade-offs Between Individual and Group Fairness in Machine Learning: A Comprehensive Review
by: Benítez-Peña, Sandra, et al.
Published: (2026)
by: Benítez-Peña, Sandra, et al.
Published: (2026)
Efficient k-means with Individual Fairness via Exponential Tilting
by: Zhu, Shengkun, et al.
Published: (2024)
by: Zhu, Shengkun, et al.
Published: (2024)
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
by: Zhang, He, et al.
Published: (2023)
by: Zhang, He, et al.
Published: (2023)
Long-Term Fair Decision Making through Deep Generative Models
by: Hu, Yaowei, et al.
Published: (2024)
by: Hu, Yaowei, et al.
Published: (2024)
Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems
by: Ye, Ziqiaing, et al.
Published: (2024)
by: Ye, Ziqiaing, et al.
Published: (2024)
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
by: Ehyaei, Ahmad-Reza, et al.
Published: (2023)
by: Ehyaei, Ahmad-Reza, et al.
Published: (2023)
OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
by: Yu, Zhaojian, et al.
Published: (2024)
by: Yu, Zhaojian, et al.
Published: (2024)
A Benchmark for Strategic Auditee Gaming Under Continuous Compliance Monitoring
by: Burnat, Florian A. D., et al.
Published: (2026)
by: Burnat, Florian A. D., et al.
Published: (2026)
Gaming the Metric, Not the Harm: Certifying Safety Audits against Strategic Platform Manipulation
by: Burnat, Florian A. D., et al.
Published: (2026)
by: Burnat, Florian A. D., et al.
Published: (2026)
Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
by: Xie, Haijin, et al.
Published: (2025)
by: Xie, Haijin, et al.
Published: (2025)
Copyright in Generative Deep Learning
by: Franceschelli, Giorgio, et al.
Published: (2021)
by: Franceschelli, Giorgio, et al.
Published: (2021)
Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2024)
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2024)
Toward Mitigating Sex Bias in Pilot Trainees' Stress and Fatigue Modeling
by: Pfeifer, Rachel, et al.
Published: (2024)
by: Pfeifer, Rachel, et al.
Published: (2024)
A Preliminary Framework for Intersectionality in ML Pipelines
by: Turcios, Michelle Nashla, et al.
Published: (2025)
by: Turcios, Michelle Nashla, et al.
Published: (2025)
On the (In)Compatibility between Group Fairness and Individual Fairness
by: Xu, Shizhou, et al.
Published: (2024)
by: Xu, Shizhou, et al.
Published: (2024)
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness
by: Small, Edward A., et al.
Published: (2023)
by: Small, Edward A., et al.
Published: (2023)
Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm
by: Wei, Qianru, et al.
Published: (2026)
by: Wei, Qianru, et al.
Published: (2026)
Population synthesis with geographic coordinates
by: Lenti, Jacopo, et al.
Published: (2025)
by: Lenti, Jacopo, et al.
Published: (2025)
A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender System
by: Baidya, Nikita, et al.
Published: (2026)
by: Baidya, Nikita, et al.
Published: (2026)
Fairness via Independence: A (Conditional) Distance Covariance Framework
by: Huang, Ruifan, et al.
Published: (2024)
by: Huang, Ruifan, et al.
Published: (2024)
A Unified Post-Processing Framework for Group Fairness in Classification
by: Xian, Ruicheng, et al.
Published: (2024)
by: Xian, Ruicheng, et al.
Published: (2024)
A Framework for Spatio-Temporal Graph Analytics In Field Sports
by: Antonini, Valerio, et al.
Published: (2024)
by: Antonini, Valerio, et al.
Published: (2024)
Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models
by: Guo, Keyan, et al.
Published: (2024)
by: Guo, Keyan, et al.
Published: (2024)
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
by: Salaudeen, Olawale, et al.
Published: (2025)
by: Salaudeen, Olawale, et al.
Published: (2025)
FRAPPE: A Group Fairness Framework for Post-Processing Everything
by: Tifrea, Alexandru, et al.
Published: (2023)
by: Tifrea, Alexandru, et al.
Published: (2023)
On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
Perturbation Effects on Accuracy and Fairness among Similar Individuals
by: Li, Xuran, et al.
Published: (2024)
by: Li, Xuran, et al.
Published: (2024)
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024)
by: Wang, Jiawei, et al.
Published: (2024)
Test-Time Learning and Inference-Time Deliberation for Efficiency-First Offline Reinforcement Learning in Care Coordination and Population Health Management
by: Basu, Sanjay, et al.
Published: (2025)
by: Basu, Sanjay, et al.
Published: (2025)
A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting
by: Agyemang, Edmund F., et al.
Published: (2025)
by: Agyemang, Edmund F., et al.
Published: (2025)
Similar Items
-
Deep Contrastive Learning for Feature Alignment: Insights from Housing-Household Relationship Inference
by: Qian, Xiao, et al.
Published: (2025) -
A Joint Synthetic Housing-Household Inventory
by: Qian, Xiao, et al.
Published: (2026) -
PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction
by: Qian, Xiao, et al.
Published: (2026) -
Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population
by: Neekhra, Bhavesh, et al.
Published: (2023) -
Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines
by: Salvador, Erika Lynet
Published: (2024)