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Detecting Statistical Interactions from Neural Network Weights

14 May 2017

Papers citing "Detecting Statistical Interactions from Neural Network Weights"

50 / 53 papers shown

Title
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations Laurin Lux Alexander H. Berger Maria Romeo Tricas Alaa E. Fayed Siyang Song Linus Kreitner Jonas Weidner Martin J. Menten Daniel Rueckert Johannes C. Paetzold 84 2 0 23 Feb 2025
Error-controlled non-additive interaction discovery in machine learning models Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 136 1 0 17 Feb 2025
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions Fabian Fumagalli Maximilian Muschalik Patrick Kolpaczki Eyke Hüllermeier Barbara Hammer 103 7 0 17 May 2024
RanPAC: Random Projections and Pre-trained Models for Continual Learning Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad Anton Van Den Hengel VLM CLL 120 112 0 05 Jul 2023
Improving Neural Additive Models with Bayesian Principles Kouroche Bouchiat Alexander Immer Hugo Yèche Gunnar Rätsch Vincent Fortuin BDL MedIm 105 6 0 26 May 2023
Exploring the cloud of feature interaction scores in a Rashomon set Sichao Li Rong Wang Quanling Deng Amanda S. Barnard 59 5 0 17 May 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin Yu Jianfeng Gao MILM 74 58 0 17 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 90 19 0 16 Apr 2023
Detection of Interacting Variables for Generalized Linear Models via Neural Networks Y. Havrylenko Julia I Heger 94 2 0 16 Sep 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 88 3 0 15 May 2022
Faith-Shap: The Faithful Shapley Interaction Index Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar TDI 95 55 0 02 Mar 2022
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 95 66 0 21 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 120 58 0 05 Dec 2021
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 124 61 0 11 Nov 2021
Interpreting Attributions and Interactions of Adversarial Attacks Xin Eric Wang Shuyu Lin Hao Zhang Yufei Zhu Quanshi Zhang AAML FAtt 61 15 0 16 Aug 2021
Interpreting and improving deep-learning models with reality checks Chandan Singh Wooseok Ha Bin Yu FAtt 84 3 0 16 Aug 2021
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models Raphael Ronge K. Nho Christian Wachinger Sebastian Polsterl 20 4 0 12 Aug 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 106 676 0 22 Jul 2021
Online Interaction Detection for Click-Through Rate Prediction Qiuqiang Lin Chuanhou Gao 52 0 0 27 Jun 2021
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning C. Chang R. Caruana Anna Goldenberg AI4CE 93 80 0 03 Jun 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Xu Cheng Xin Eric Wang Meng Zhou Jie Shi Quanshi Zhang AAML 136 23 0 12 Mar 2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG Arshdeep Sekhon Zhe Wang Yanjun Qi GNN 28 0 0 03 Mar 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 67 30 0 12 Feb 2021
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning Jiaheng Xie Xinyu Liu HAI 55 11 0 21 Dec 2020
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability Gintare Karolina Dziugaite Shai Ben-David Daniel M. Roy FaML 44 40 0 26 Oct 2020
Towards Interaction Detection Using Topological Analysis on Neural Networks Zirui Liu Qingquan Song Kaixiong Zhou Ting-Hsiang Wang Ying Shan Helen Zhou 32 6 0 25 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 143 96 0 08 Oct 2020
Interpreting and Boosting Dropout from a Game-Theoretic View Hao Zhang Sen Li Yinchao Ma Mingjie Li Yichen Xie Quanshi Zhang FAtt AI4CE 92 48 0 24 Sep 2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection Michael Tsang Dehua Cheng Hanpeng Liu Xuening Feng Eric Zhou Yan Liu FAtt 85 60 0 19 Jun 2020
How does this interaction affect me? Interpretable attribution for feature interactions Michael Tsang Sirisha Rambhatla Yan Liu FAtt 75 88 0 19 Jun 2020
High Dimensional Model Explanations: an Axiomatic Approach Neel Patel Martin Strobel Yair Zick FAtt 53 20 0 16 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T. Schütt Klaus-Robert Muller G. Montavon 109 223 0 05 Jun 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 141 83 0 17 Mar 2020
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions Zebin Yang Aijun Zhang Agus Sudjianto FAtt 170 130 0 16 Mar 2020
Building and Interpreting Deep Similarity Models Oliver Eberle Jochen Büttner Florian Kräutli K. Müller Matteo Valleriani G. Montavon 73 59 0 11 Mar 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 85 149 0 10 Feb 2020
An interpretable neural network model through piecewise linear approximation Mengzhuo Guo Qingpeng Zhang Xiuwu Liao D. Zeng MILM FAtt 51 8 0 20 Jan 2020
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models Benjamin J. Lengerich S. Tan C. Chang Giles Hooker R. Caruana 79 42 0 12 Nov 2019
Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search Mehmet Süzen J. Cerdà C. Weber 40 1 0 10 Nov 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab W. Karlen FAtt CML 122 211 0 27 Oct 2019
Neural Memory Plasticity for Anomaly Detection Tharindu Fernando Simon Denman David Ahmedt-Aristizabal Sridha Sridharan K. Laurens Patrick J. Johnston Clinton Fookes 58 5 0 12 Oct 2019
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 120 677 0 21 May 2019
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees Summer Devlin Chandan Singh W. James Murdoch Bin Yu FAtt 56 14 0 18 May 2019
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model Tong Wang Qihang Lin 139 19 0 10 May 2019
Explaining a prediction in some nonlinear models Cosimo Izzo FAtt 32 0 0 21 Apr 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 211 1,457 0 14 Jan 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology Bastian Rieck Matteo Togninalli Christian Bock Michael Moor Max Horn Thomas Gumbsch Karsten Borgwardt 93 111 0 23 Dec 2018
Can I trust you more? Model-Agnostic Hierarchical Explanations Michael Tsang Youbang Sun Dongxu Ren Yan Liu FAtt 53 26 0 12 Dec 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 84 146 0 14 Jun 2018
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty Hao Zhou Yunyang Xiong Vikas Singh UQCV BDL 85 4 0 10 Jun 2018