Using Deep Image Priors to Generate Counterfactual Explanations

Vivek Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias

Type: Article

Publication Date: 2021-05-13

Citations: 6

DOI: https://doi.org/10.1109/icassp39728.2021.9413636

View Publication

Locations

arXiv (Cornell University) - View - PDF
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) - View
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - View

Similar Works

Action	Title	Year	Authors
+	Using Deep Image Priors to Generate Counterfactual Explanations	2020	Vivek Narayanaswamy Jayaraman J. Thiagarajan Andreas Spanias
+	Using Deep Image Priors to Generate Counterfactual Explanations	2020	Vivek Narayanaswamy Jayaraman J. Thiagarajan Andreas Spanias
+	Designing Counterfactual Generators using Deep Model Inversion	2021	Jayaraman J. Thiagarajan Vivek Narayanaswamy Deepta Rajan Jason Liang Akshay Chaudhari Andreas Spanias
+	Designing Counterfactual Generators using Deep Model Inversion	2021	Jayaraman J. Thiagarajan Vivek Narayanaswamy Deepta Rajan Jason Liang Akshay Chaudhari Andreas Spanias
+ PDF Chat	Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals	2022	Saloni Dash Vineeth N Balasubramanian Amit Sharma
+	Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals	2020	Saloni Dash Vineeth N Balasubramanian Amit Sharma
+	Cycle-Consistent Counterfactuals by Latent Transformations	2022	Saeed Khorram Fuxin Li
+ PDF Chat	Cycle-Consistent Counterfactuals by Latent Transformations	2022	Saeed Khorram Fuxin Li
+ PDF Chat	Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder	2024	Matan Atad David Schinz Hendrik Moeller Robert Graf Benedikt Wiestler Daniel Rueckert Nassir Navab Jan S. Kirschke Matthias Keicher
+ PDF Chat	Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models	2024	Aneesh Komanduri Chen Zhao Feng Chen Xintao Wu
+ PDF Chat	Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models	2024	Aneesh Komanduri Chen Zhao Feng Chen Xintao Wu
+	Sparse Visual Counterfactual Explanations in Image Space	2022	Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein
+	Diffusion Visual Counterfactual Explanations	2022	Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein
+ PDF Chat	Global Counterfactual Directions	2024	Bartłomiej Sobieski Przemysław Biecek
+	Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation	2023	Nina Weng Paraskevas Pegios Aasa Feragen Eike Petersen Siavash Arjomand Bigdeli
+ PDF Chat	Counterfactual Image Editing	2024	Yushu Pan Elias Bareinboim
+	Clarity: an improved gradient method for producing quality visual counterfactual explanations	2022	Claire Theobald Frédéric Pennerath Brieuc Conan‐Guez Miguel Couceiro Amedeo Napoli
+	Counterfactual Generative Networks	2021	Axel Sauer Andreas Geiger
+	Counterfactual Generative Networks	2021	Axel Sauer Andreas Geiger
+	Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach	2023	Guillaume Jeanneret Loïc Simon Frédéric Jurie

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (16)

Action	Title	Year	Authors
+ PDF Chat	Understanding deep image representations by inverting them	2015	Aravindh Mahendran Andrea Vedaldi
+ PDF Chat	Visualizing Deep Convolutional Neural Networks Using Natural Pre-images	2016	Aravindh Mahendran Andrea Vedaldi
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+ PDF Chat	Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees	2018	Viraj Shah Chinmay Hegde
+	Blind Image Deconvolution using Deep Generative Priors	2018	Muhammad Asim Fahad Shamshad Ali Ahmed
+	Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)	2019	Noel Codella Veronica Rotemberg Philipp Tschandl M. Emre Celebi Stephen W. Dusza David Gutman Brian Helba Aadi Kalloo Konstantinos Liopyris Michael A. Marchetti
+ PDF Chat	Learning Loss for Active Learning	2019	Donggeun Yoo In So Kweon
+ PDF Chat	Semantic Image Inpainting with Deep Generative Models	2017	Raymond A. Yeh Chen Chen Teck Yian Lim Alexander G. Schwing Mark Hasegawa–Johnson N. Minh
+ PDF Chat	Inverting Visual Representations with Convolutional Networks	2016	Alexey Dosovitskiy Thomas Brox
+	MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking	2020	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer