Learning Global Pairwise Interactions with Bayesian Neural Networks

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Learning Global Pairwise Interactions with Bayesian Neural Networks

24 January 2019

Pekka Marttinen

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Papers citing "Learning Global Pairwise Interactions with Bayesian Neural Networks"

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Title
Error-controlled non-additive interaction discovery in machine learning modelsNature Machine Intelligence (Nat. Mach. Intell.), 2024 Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 301 2 0 17 Feb 2025
SmoothHess: ReLU Network Feature Interactions via Stein's LemmaNeural Information Processing Systems (NeurIPS), 2023 Max Torop A. Masoomi Davin Hill Kivanc Kose Stratis Ioannidis Jennifer Dy 252 7 0 01 Nov 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant SubspacesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 352 26 0 30 Dec 2022
Toward Explainable AI for Regression ModelsIEEE Signal Processing Magazine (IEEE SPM), 2021 S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 193 80 0 21 Dec 2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG Arshdeep Sekhon Zhe Wang Yanjun Qi GNN 106 0 0 03 Mar 2021
High Dimensional Model Explanations: an Axiomatic Approach Neel Patel Martin Strobel Yair Zick FAtt 138 23 0 16 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 327 86 0 17 Mar 2020
Building and Interpreting Deep Similarity ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Oliver Eberle Jochen Büttner Florian Kräutli K. Müller Matteo Valleriani G. Montavon 146 76 0 11 Mar 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep NetworksJournal of machine learning research (JMLR), 2020 Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 590 167 0 10 Feb 2020