Neural Basis Models for Interpretability

27 May 2022

Papers citing "Neural Basis Models for Interpretability"

33 / 33 papers shown

Title
Challenges in interpretability of additive models Xinyu Zhang Julien Martinelli S. T. John AAML AI4CE 29 1 0 14 Apr 2025
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks Anton Thielmann Arik Reuter Benjamin Saefken LMTD 72 0 0 11 Apr 2025
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Benjamin Kolicic Alberto Caron Chris Hicks V. Mavroudis AI4CE 47 0 0 14 Nov 2024
BayesNAM: Leveraging Inconsistency for Reliable Explanations Hoki Kim Jinseong Park Yujin Choi Seungyun Lee Jaewook Lee BDL 24 0 0 10 Nov 2024
Generalized Sparse Additive Model with Unknown Link Function Peipei Yuan Xinge You H. Chen Xuelin Zhang Qinmu Peng 59 0 0 08 Oct 2024
A Functional Extension of Semi-Structured Networks David Rügamer Bernard X. W. Liew Zainab Altai Almond Stöcker 26 0 0 07 Oct 2024
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning Guangzhi Xiong Sanchit Sinha Aidong Zhang 23 0 0 07 Oct 2024
GAMformer: In-Context Learning for Generalized Additive Models Andreas Mueller Julien N. Siems Harsha Nori David Salinas Arber Zela Rich Caruana Frank Hutter AI4CE 33 3 0 06 Oct 2024
META-ANOVA: Screening interactions for interpretable machine learning Daniel A. Serino Marc L. Klasky Chanmoo Park Dongha Kim Yongdai Kim 33 0 0 02 Aug 2024
CAT: Interpretable Concept-based Taylor Additive Models Viet Duong Qiong Wu Zhengyi Zhou Hongjue Zhao Chenxiang Luo Eric Zavesky Huaxiu Yao Huajie Shao FAtt 27 2 0 25 Jun 2024
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data Eleonora Poeta F. Giobergia Eliana Pastor Tania Cerquitelli Elena Baralis 35 21 0 20 Jun 2024
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability Kunpeng Xu Lifei Chen Shengrui Wang AI4TS 24 53 0 04 Jun 2024
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 40 0 0 03 Jun 2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression Lucas Kook Chris Kolb Philipp Schiele Daniel Dold Marcel Arpogaus ... Philipp F. M. Baumann Philipp Kopper Tobias Pielok Emilio Dorigatti David Rügamer BDL AI4TS 32 1 0 08 May 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations Krzysztof Kacprzyk M. Schaar 27 1 0 15 Apr 2024
Neural Additive Image Model: Interpretation through Interpolation Arik Reuter Anton Thielmann Benjamin Saefken DiffM 34 1 0 06 Mar 2024
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 23 0 0 11 Dec 2023
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series Qiqi Su Christos Kloukinas Artur dÁvila Garcez AI4TS 19 3 0 28 Nov 2023
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models Lennart Schneider B. Bischl Janek Thomas 30 6 0 17 Jul 2023
Improving Neural Additive Models with Bayesian Principles Kouroche Bouchiat Alexander Immer Hugo Yèche Gunnar Rätsch Vincent Fortuin BDL MedIm 31 6 0 26 May 2023
Backpack Language Models John Hewitt John Thickstun Christopher D. Manning Percy Liang KELM 13 16 0 26 May 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Julien N. Siems Konstantin Ditschuneit Winfried Ripken Alma Lindborg Maximilian Schambach Johannes Otterbach Martin Genzel 19 6 0 19 May 2023
$N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning$ N $\text{A}^\text{2}$ Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning Zichuan Liu Yuanyang Zhu Chunlin Chen 45 10 0 26 Apr 2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky 29 0 0 27 Mar 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 29 0 0 27 Mar 2023
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees Johanna Vielhaben Stefan Blücher Nils Strodthoff 27 37 0 27 Jan 2023
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean Anton Thielmann René-Marcel Kruse Thomas Kneib Benjamin Säfken 29 12 0 27 Jan 2023
Extending the Neural Additive Model for Survival Analysis with EHR Data M. Peroni Marharyta Kurban Sun-Young Yang Young Sun Kim H. Kang J. Song 17 6 0 15 Nov 2022
Predicting Treatment Adherence of Tuberculosis Patients at Scale Mihir Kulkarni Satvik Golechha Rishi Raj J. Sreedharan Ankit Bhardwaj ... Jayakrishna Kurada S. Mattoo R. Joshi K. Rade Alpa Raval 20 1 0 05 Nov 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 38 107 0 02 Oct 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 66 114 0 06 Dec 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 91 294 0 13 Sep 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016