On Causally Disentangled Representations

On Causally Disentangled Representations

10 December 2021

Abbavaram Gowtham Reddy

Benin Godfrey L

V. Balasubramanian

Papers citing "On Causally Disentangled Representations"

18 / 18 papers shown

Title
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 16 0 0 25 Oct 2024
Measuring Orthogonality in Representations of Generative Models Robin Geyer Alessandro Torcinovich João B. S. Carvalho Alexander Meyer Joachim M. Buhmann CML 27 0 0 04 Jul 2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery Jingru Zhu Ya Guo Geng Sun Liang Hong Jie Chen 30 3 0 06 Mar 2024
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder Xiaoyu Liu Jiaxin Yuan Bang An Yuancheng Xu Yifan Yang Furong Huang CML 21 7 0 26 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 31 7 0 17 Oct 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 19 13 0 14 Sep 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 28 0 0 29 May 2023
Causally Disentangled Generative Variational AutoEncoder SeungHwan An Kyungwoo Song Jong-June Jeon OOD CoGe DRL CML 13 4 0 23 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 28 7 0 16 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 50 11 0 29 Jan 2023
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz Sarah Adel Bargal Cihang Xie Kate Saenko Stan Sclaroff ViT 21 5 0 29 Nov 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 24 77 0 21 Nov 2022
Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy Saloni Dash Amit Sharma V. Balasubramanian CML 29 2 0 22 Oct 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 98 64 0 31 May 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 515 0 31 Aug 2021
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 84 72 0 06 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 173 313 0 07 Feb 2020