Cover Image

Visual Polarization Measurement Using Counterfactual Image Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mosaffa, Mohammad, Rafieian, Omid, Yoganarasimhan, Hema
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Privacy-Utility Trade-Off of Location Tracking in Ad Personalization
by: Mosaffa, Mohammad, et al.
Published: (2026)

Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
by: Singh, Amandeep, et al.
Published: (2023)

An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
by: Kang, Enoch H., et al.
Published: (2025)

Network Structure in UK Payment Flows: Evidence on Economic Interdependencies and Implications for Real-Time Measurement
by: Humnabadkar, Aditya
Published: (2026)

Diagnosing Urban Street Vitality via a Visual-Semantic and Spatiotemporal Framework for Street-Level Economics
by: Zhuo, Xinxin, et al.
Published: (2026)

Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts
by: Han, Sukjin, et al.
Published: (2021)

Benchmarking Counterfactual Image Generation
by: Melistas, Thomas, et al.
Published: (2024)

Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
by: Zhang, Yukai, et al.
Published: (2024)

Counterfactual Image Editing
by: Pan, Yushu, et al.
Published: (2024)

Diffusion Counterfactuals for Image Regressors
by: Ha, Trung Duc, et al.
Published: (2025)

Towards Desiderata-Driven Design of Visual Counterfactual Explainers
by: Bender, Sidney, et al.
Published: (2025)

Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
by: Denton, Remi, et al.
Published: (2019)

Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)

OTI: A Model-free and Visually Interpretable Measure of Image Attackability
by: Liang, Jiaming, et al.
Published: (2026)

From Unstructured Data to Demand Counterfactuals: Theory and Practice
by: Christensen, Timothy, et al.
Published: (2026)

Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
by: Shirani, Sadegh, et al.
Published: (2025)

Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
by: Goldwasser, Jeremy, et al.
Published: (2025)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
by: Atad, Matan, et al.
Published: (2024)

Improving Deep Generative Models on Many-To-One Image-to-Image Translation
by: Saxena, Sagar, et al.
Published: (2024)

Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data
by: Alinezhad, Farbod, et al.
Published: (2026)

Forecasting and Visualizing Air Quality from Sky Images with Vision-Language Models
by: Vahdatpour, Mohammad Saleh, et al.
Published: (2025)

From Baseline to Follow-Up: Counterfactual Spine DXA Image Synthesis in UK Biobank Using a Causal Hierarchical Variational Autoencoder
by: Zhang, Yilin, et al.
Published: (2026)

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
by: Xie, Ming-Kun, et al.
Published: (2024)

Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation
by: Li, Chao, et al.
Published: (2026)

Predicting the Price of Gold in the Financial Markets Using Hybrid Models
by: Rashidi, Mohammadhossein, et al.
Published: (2025)

Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation
by: Uesugi, Kenta, et al.
Published: (2025)

Image Restoration Using Deep Regulated Convolutional Networks
by: Liu, Peng, et al.
Published: (2019)

TACE: Tumor-Aware Counterfactual Explanations
by: Rossi, Eleonora Beatrice, et al.
Published: (2024)

Diffusion Counterfactual Generation with Semantic Abduction
by: Rasal, Rajat, et al.
Published: (2025)

Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image Generation
by: Izadi, Amir Mohammad, et al.
Published: (2025)

Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
by: Lin, Pei-Yu, et al.
Published: (2026)

Free Discontinuity Regression: With an Application to the Economic Effects of Internet Shutdowns
by: Gunsilius, Florian, et al.
Published: (2023)

Do Counterfactual Examples Complicate Adversarial Training?
by: Yeats, Eric, et al.
Published: (2024)

Group Shapley Value and Counterfactual Simulations in a Structural Model
by: Kwon, Yongchan, et al.
Published: (2024)

Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals
by: Sun, Susu, et al.
Published: (2024)

Unified Text-Image-to-Video Generation: A Training-Free Approach to Flexible Visual Conditioning
by: Lai, Bolin, et al.
Published: (2025)

Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion
by: Nair, Lakshmi
Published: (2024)

MEt3R: Measuring Multi-View Consistency in Generated Images
by: Asim, Mohammad, et al.
Published: (2025)

Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation
by: Zare, Mohammad
Published: (2025)

ALDI-ray: Adapting the ALDI Framework for Security X-ray Object Detection
by: Heidari, Omid Reza, et al.
Published: (2025)