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TMLR 2026Feature attribution

MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees

MCIR-M quantifies unique predictive information beyond dependent neighbors via a normalized conditional ratio in [0,1], yielding stable dependence-aware global rankings under multicollinearity and near-duplicates.

Poushali Sengupta, Sabita Maharjan, Frank Eliassen, Shashi Raj Pandey and 1 more

Published Oct 1, 2026 · 0 citations

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NeurIPS 2026Korea Advanced Institute of ScieKAISTFeature attribution

TreePII: Efficient Computation of Higher-Order Probabilistic Interaction Indices in Tree Ensembles

Junho Choi, Jaesik Choi

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026International Monetary Fundkudan suurikenFukuokaWasedaFeature attribution

ESENSC: A Polynomial-Time Axiomatic Alternative to SHAP

Kazuhiro Hiraki, Shinichi Ishihara, Takumi Kongo, Junnosuke Shino

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Freie Universität BerlinNanjingFeature attribution

Explaining Cross-Modal Model Behavior with Gradient-Estimation-Based Feature Interaction

Yi Cai, Xinpeng Li, Gerhard Wunder

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightGerman Research Center for ArtifGerman Research Center for AIFeature attribution

Weakly Supervised Concept Learning for Interpreting and Attributing LVLM Predictions

Md Abdul Kadir, Omair Shahzad Bhatti, Daniel Sonntag

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KTH Royal Institute of TechnologKTH Royal Institute of TechnologFeature attribution

Exact power indices for plurality-voting ensembles

Ilie Sarpe, Theofanis Georgakopoulos, Aristides Gionis

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U PennsylvaniaU Pennsylvania, University of PeFeature attribution

Position-aware eXplanation: A Model-Agnostic Framework for Positional Attributions

Chaehyeon Kim, Gary Weissman, Eric Wong

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ETHZ - ETH ZurichUT AustinU Texas at AustinEPFL - EPF LausanneETH ZurichFeature attribution

Parasite Features: Causal Abstraction Through Spurious Pathways

Denis Sutter, Qing Yao, Sasha Boguraev, Julian Minder and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Seoul NationalFeature attribution

Decomposing Conformal Uncertainty: Calibration- and Instance-Driven Feature Attribution

Sangyeon Cho, Minyoung Cho, Jungsoo Kim, Sujeong Oh and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U British ColumbiaThe University of British ColumbFeature attribution

Causal Gradient Steering: Exposing Shortcut Gradients by Destroying Causal Signal

Ahmed Radwan, Ahmad Abdel-Qader, Mahmoud Soliman, Omar Abdelaziz and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026NortheasternEmoryFeature attribution

Designing Kernel Surrogate Models for Multimodal Attribution

Ziniu Zhang, Zhenshuo Zhang, Jianglin Lu, Ruoxuan Xiong and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026CornellImperial College LondonGoodfire AIFeature attribution

Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attributions

Toni Liu, Baran Zadeoğlu, Nicolas Boulle, Raphaël Sarfati and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SouthamptonFeature attribution

In search of a definition of importance: Do attributions capture it?

Antonia Marcu, Jonathon Hare, Annika Catulli, Srinandan Dasmahapatra and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026The Ohio StateCarnegie MellonOhio State University, ColumbusFeature attribution

Generalized Priority-Aware Shapley Value

GPASV extends priority-aware Shapley values to cyclic weighted priority graphs via penalized violations, yielding differing LLM ensemble valuations.

Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 7/10
strict 1/5
74%Highly rated
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NeurIPS 2026U ViennaFeature attribution

FRInGe: Distribution-Space Integrated Gradients with Fisher–Rao Geometry

FRInGe defines Integrated Gradients via Fisher-Rao geodesics in predictive distribution space, improving calibration-oriented attribution metrics across ImageNet models.

Gabriele Martino, Sebastian Tschiatschek

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 6/10
strict 1/5
76%Highly rated
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NeurIPS 2026U Bari Aldo MoroEindhoven University of TechnoloFeature attribution

Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design

Affinity Explainer leverages matching-based FSS architectures to extract support-pixel attribution maps outperforming standard attribution methods and enabling model diagnosis.

Pasquale De Marinis, Uzay Kaymak, Rogier Brussee, Gennaro Vessio and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · Code

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lenient 4/5
medium 6/10
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80%Must read
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NeurIPS 2026Institute of Mathematics of ToulCentre National de Recherches MéCERFACSCNRS - Institut de MathématiquesFeature attribution

Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting

WassersteinGrad replaces pointwise averaging with an entropic Wasserstein barycenter to align geometrically displaced attributions in dynamic physical field predictions, improving explainability for autoregressive weather forecasts.

Younes Essafouri, Laure Raynaud, Luciano DROZDA, Laurent Risser

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
80%Must read
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NeurIPS 2026Leiden University Medical CenterNanyang TechnologicalCISPA Helmholtz Center for InforFeature attribution

Amortized Linear-time Exact Shapley Value for Product-Kernel Methods

PKeX-Shapley computes exact Shapley values for product-kernel methods via a distribution-free removal operator, achieving amortized linear-time per feature without sampling or density estimation and extending to MMD and HSIC.

Majid Mohammadi, Siu Lun (Alan) Chau, Krikamol Muandet

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
89%Must read
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NeurIPS 2026U VirginiaNational Institutes of HealthU Virginia, CharlottesvilleFeature attribution

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

A causal framework reveals standard visual attribution methods poorly explain chest X-ray reasoning in vision-language models, and MedFocus improves evidence localization via concept-based optimal transport.

Guangzhi Xiong, Qiao Jin, Sanchit Sinha, Zhiyong Lu and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 6

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
78%Highly rated
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NeurIPS 2026Computer Engineering, Sharif UniSharif University of Technology,Sharif University of TechnologyFeature attribution

Causal Attribution via Activation Patching

CAAP estimates vision transformer patch contributions by directly intervening on internal activations, yielding more faithful and localized attributions than existing methods.

Amirmohammad Izadi, Mohammadali Banayeeanzade, Alireza Mirrokni, Hosein Hasani and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
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