CXPlain: Causal Explanations for Model Interpretation under Uncertainty

27 October 2019

Papers citing "CXPlain: Causal Explanations for Model Interpretation under Uncertainty"

50 / 108 papers shown

Title
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 64 0 0 07 May 2025
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators Teodor Chiaburu Felix Bießmann Frank Haußer 23 0 0 01 Apr 2025
Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems Hannah Musau Nana Kankam Gyimah Judith Mwakalonge G. Comert Saidi Siuhi 45 0 0 23 Feb 2025
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care Yuxiao Cheng Xinxin Song Ziqian Wang Qin Zhong Kunlun He J. Suo OOD CML 93 0 0 04 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 79 15 0 10 Jan 2025
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 39 1 0 29 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 25 0 0 21 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions Helena Lofstrom Tuwe Löfström Johan Hallberg Szabadvary 33 0 0 07 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 52 2 0 02 Oct 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 49 2 0 16 Sep 2024
See or Guess: Counterfactually Regularized Image Captioning Qian Cao Xu Chen Ruihua Song Xiting Wang Xinting Huang Yuchen Ren CML 31 1 0 29 Aug 2024
Interpreting Low-level Vision Models with Causal Effect Maps Jinfan Hu Jinjin Gu Shiyao Yu Fanghua Yu Zheyuan Li Zhiyuan You Chaochao Lu Chao Dong CML 48 2 0 29 Jul 2024
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images Zhongling Huang Yihan Zhuang Zipei Zhong Feng Xu Gong Cheng Junwei Han 26 1 0 28 Jul 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 35 1 0 16 Jul 2024
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 42 3 0 12 Jul 2024
Concept Drift Detection using Ensemble of Integrally Private Models Ayush K. Varshney V. Torra 28 4 0 07 Jun 2024
Selective Explanations Lucas Monteiro Paes Dennis L. Wei Flavio du Pin Calmon FAtt 38 0 0 29 May 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 42 1 0 17 Mar 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models Changyu Chen Xiting Wang Ting-En Lin Ang Lv Yuchuan Wu Xin Gao Ji-Rong Wen Rui Yan Yongbin Li ReLM LRM 28 9 0 04 Mar 2024
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series Zhipeng Ma Marco Kemmerling Daniel Buschmann Chrismarie Enslin Daniel Lutticke Robert H. Schmitt CML 29 3 0 04 Mar 2024
The Duet of Representations and How Explanations Exacerbate It Charles Wan Rodrigo Belo Leid Zejnilovic Susana Lavado CML FAtt 19 1 0 13 Feb 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 27 2 0 05 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Zou Tatsunori Hashimoto TDI 35 7 0 29 Jan 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation Ricardo Moreira Jacopo Bono Mário Cardoso Pedro Saleiro Mário A. T. Figueiredo P. Bizarro CML 28 4 0 16 Jan 2024
Uncertainty in Additive Feature Attribution methods Abhishek Madaan Tanya Chowdhury Neha Rana James Allan Tanmoy Chakraborty 24 0 0 29 Nov 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma Max Torop A. Masoomi Davin Hill Kivanc Kose Stratis Ioannidis Jennifer Dy 25 4 0 01 Nov 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 4 0 30 Oct 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 24 7 0 15 Sep 2023
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models Xingbo Wang Renfei Huang Zhihua Jin Tianqing Fang Huamin Qu VLM ReLM LRM 30 1 0 23 Jul 2023
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning Tsai Hor Chan Fernando Julio Cendra Lan Ma Guosheng Yin Lequan Yu 34 44 0 09 Jul 2023
Efficient Shapley Values Estimation by Amortization for Text Classification Chenghao Yang Fan Yin He He Kai-Wei Chang Xiaofei Ma Bing Xiang FAtt VLM 32 4 0 31 May 2023
Causal Analysis for Robust Interpretability of Neural Networks Ola Ahmad Nicolas Béreux Loïc Baret V. Hashemi Freddy Lecue CML 21 3 0 15 May 2023
Explanations of Black-Box Models based on Directional Feature Interactions A. Masoomi Davin Hill Zhonghui Xu C. Hersh E. Silverman P. Castaldi Stratis Ioannidis Jennifer Dy FAtt 29 17 0 16 Apr 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 31 0 0 24 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu 46 20 0 05 Mar 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 29 10 0 24 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
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 24 32 0 07 Feb 2023
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks Tehseen Zia Zeeshan Nisar Shakeeb Murtaza GAN MedIm 29 0 0 21 Jan 2023
Uncertainty Quantification for Local Model Explanations Without Model Access Surin Ahn J. Grana Yafet Tamene Kristian Holsheimer FAtt 26 0 0 13 Jan 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 24 10 0 07 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 39 2 0 03 Jan 2023
Trade-off Between Efficiency and Consistency for Removal-based Explanations Yifan Zhang Haowei He Zhiyuan Tan Yang Yuan FAtt 33 3 0 31 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 37 4 0 24 Oct 2022
Boundary-Aware Uncertainty for Feature Attribution Explainers Davin Hill A. Masoomi Max Torop S. Ghimire Jennifer Dy FAtt 62 3 0 05 Oct 2022
EMaP: Explainable AI with Manifold-based Perturbations Minh Nhat Vu Huy Mai My T. Thai AAML 35 2 0 18 Sep 2022
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest Yifan Jin Jiangmeng Li Zheng Lian Chengbo Jiao Xiaohui Hu MedIm 13 8 0 29 Aug 2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation Vy Vo Van Nguyen Trung Le Quan Hung Tran Gholamreza Haffari S. Çamtepe Dinh Q. Phung FAtt 45 5 0 07 Jul 2022
Causality for Inherently Explainable Transformers: CAT-XPLAIN Subash Khanal Benjamin Brodie Xin Xing Ai-Ling Lin Nathan Jacobs 22 4 0 29 Jun 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 41 3 0 24 Jun 2022