Papers citing 'Captum: A unified and generic model interpretability library for PyTorch'

Title
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring Changhun Kim Yechan Mun Hyeongwon Jang Eunseo Lee Sangchul Hahn Eunho Yang AI4TS 36 0 0 28 Nov 2025
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods Kevin Iselborn David Dembinsky Adriano Lucieri Andreas Dengel AAML FAtt 287 0 0 26 Nov 2025
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation Hossein Shokouhinejad Griffin Higgins Roozbeh Razavi-Far Ali Ghorbani 36 0 0 25 Nov 2025
Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts Mosab Rezaei Mina Rajaei Moghadam A. Shaikh Hamed Alhoori Reva Freedman 52 0 0 25 Nov 2025
FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications Dwipam Katariya Snehita Varma Akshat Shreemali Benjamin Wu Kalanand Mishra Pranab Mohanty 32 0 0 18 Nov 2025
From Confusion to Clarity: ProtoScore - A Framework for Evaluating Prototype-Based XAIConference on Fairness, Accountability and Transparency (FAccT), 2025 Helena Monke Benjamin Sae-Chew Benjamin Frész Marco F. Huber 81 0 0 11 Nov 2025
Beyond Neural Incompatibility: Easing Cross-Scale Knowledge Transfer in Large Language Models through Latent Semantic Alignment Jian Gu A. Aleti Chunyang Chen Hongyu Zhang 57 0 0 28 Oct 2025
C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression Baptiste Bauvin Loïc Baret Ola Ahmad 88 0 0 21 Oct 2025
Fine-grained Analysis of Brain-LLM Alignment through Input Attribution Michela Proietti Roberto Capobianco Mariya Toneva 50 0 0 14 Oct 2025
Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders Bohao Wang Jiawei Chen Feng Liu Changwang Zhang Jun Wang Canghong Jin Chun-Yen Chen Can Wang 80 0 0 13 Oct 2025
Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs Shuzhou Yuan Ercong Nie Yinuo Sun Chenxuan Zhao William LaCroix Michael Färber 116 0 0 09 Oct 2025
HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data Maria Mahbub Robert J. Klein Myvizhi Esai Selvan Rowena Yip Claudia Henschke ... Eileen McAllister Samuel M. Aguayo Zeynep H. Gümüş Ioana Danciu VA Million Veteran Program MedIm 85 0 0 08 Oct 2025
Cluster Paths: Navigating Interpretability in Neural Networks Nicholas M. Kroeger Vincent Bindschaedler 88 0 0 08 Oct 2025
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models Donghang Wu H. Zhang Chen Chen Tianyu Zhang Fei Tian ... Gang Yu Hexin Liu Nana Hou Yuchen Hu Eng Siong Chng AuLLM KELM AI4CE LRM 420 2 0 02 Oct 2025
DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis Firas Ben Hmida Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML GNN 134 0 0 30 Sep 2025
TDHook: A Lightweight Framework for Interpretability Yoann Poupart AI4CE 100 0 0 29 Sep 2025
EVO-LRP: Evolutionary Optimization of LRP for Interpretable Model Explanations Emerald Zhang Julian Weaver Samantha R Santacruz Edward Castillo 105 0 0 28 Sep 2025
On The Variability of Concept Activation Vectors Julia Wenkmann Damien Garreau AAML 93 0 0 28 Sep 2025
Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data Mohammad Hosseini Maryam M. Shanechi AI4CE 80 3 0 23 Sep 2025
Deep Learning-Driven Peptide Classification in Biological Nanopores S. Tovey Julian Hoßbach Sandro Kuppel Tobias Ensslen Jan C. Behrends Christian Holm 64 0 0 17 Sep 2025
Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks Asim Waheed Vasisht Duddu Rui Zhang S. Szyller AAML 197 1 0 15 Sep 2025
Evaluation of Black-Box XAI Approaches for Predictors of Values of Boolean Formulae Stav Armoni-Friedmann Hana Chockler David A. Kelly 80 0 0 12 Sep 2025
Functional Groups are All you Need for Chemically Interpretable Molecular Property Prediction Roshan Balaji Joe Bobby Nirav Pravinbhai Bhatt AI4CE 72 0 0 11 Sep 2025
Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires Jiyeon Kim Yingjie Hu Negar Elhami-Khorasani Kai Sun Ryan Zhenqi Zhou 59 0 0 05 Sep 2025
An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification D. Serramazza Nikos Papadeas Zahraa Abdallah Georgiana Ifrim AI4TS FAtt 167 0 0 03 Sep 2025
AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum Prasasthy Balasubramanian Dumindu Kankanamge Ekaterina Gilman Mourad Oussalah 52 0 0 26 Aug 2025
Interpreting the Effects of Quantization on LLMs Manpreet Singh Hassan Sajjad MQ MILM 261 0 0 22 Aug 2025
Model Interpretability and Rationale Extraction by Input Mask OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Marc Brinner Sina Zarriess AAML 84 2 0 15 Aug 2025
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Amir Mehrpanah Matteo Gamba Kevin Smith Hossein Azizpour FAtt 97 0 0 14 Aug 2025
SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG Controlling Shixuan Sun Yaning Tan Ruoyu Chen Jianjie Huang Jingzhi Li Xiaochun Cao 226 0 0 12 Aug 2025
Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning Vítor N. Lourenço A. Paes and Tillman Weyde 246 1 0 11 Aug 2025
How Does a Deep Neural Network Look at Lexical Stress? Itai Allouche Itay Asael Rotem Rousso Vered Dassa Ann R. Bradlow Seung-Eun Kim Matthew A. Goldrick Joseph Keshet 58 1 0 10 Aug 2025
No Masks Needed: Explainable AI for Deriving Segmentation from Classification Mosong Ma Tania Stathaki Michalis Lazarou 112 0 0 06 Aug 2025
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations Yuhan Guo Lizhong Ding Shihan Jia Yanyu Ren P. Li Jiarun Fu Changsheng Li Ye Yuan Guoren Wang 108 0 0 05 Aug 2025
Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil Luis Vitor Zerkowski Nina S. T. Hirata 54 0 0 31 Jul 2025
POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel LeakageDesign Automation Conference (DAC), 2025 Tanzim Mahfuz Sudipta Paria Tasneem Suha Swarup Bhunia Prabuddha Chakraborty 100 0 0 29 Jul 2025
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility Melih Barsbey Lucas Prieto Stefanos Zafeiriou Tolga Birdal 232 0 0 23 Jul 2025
PyG 2.0: Scalable Learning on Real World Graphs Matthias Fey Jinu Sunil Akihiro Nitta Rishi Puri Manan Shah ... Vid Kocijan Zecheng Zhang Xinwei He J. E. Lenssen J. Leskovec GNN AI4CE 232 21 0 22 Jul 2025
OrdShap: Feature Position Importance for Sequential Black-Box Models Davin Hill Brian L. Hill A. Masoomi Vijay S. Nori Robert E. Tillman Jennifer Dy FAtt 213 0 0 16 Jul 2025
On the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), 2025 Jonas Klotz Tom Burgert Tim Siebert 260 0 0 08 Jul 2025
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems Michael Papademas Xenia Ziouvelou Antonis Troumpoukis Vangelis Karkaletsis 226 0 0 28 Jun 2025
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks Jonas R. Naujoks Aleksander Krasowski Moritz Weckbecker Galip Umit Yolcu Thomas Wiegand Sebastian Lapuschkin Wojciech Samek R. P. Klausen TDI PINN AI4CE 218 1 0 19 Jun 2025
BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models Bharath Dandala Michael M. Danziger Ella Barkan Tanwi Biswas Viatcheslav Gurev ... Akira Koseki Tal Kozlovski Michal Rosen-Zvi Yishai Shimoni Ching-Huei Tsou AI4CE 110 1 0 17 Jun 2025
Towards Large Language Models with Self-Consistent Natural Language Explanations Sahar Admoni Ofra Amir Assaf Hallak Yftah Ziser LRM 124 2 0 09 Jun 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety Seongmin Lee Aeree Cho Grace C. Kim ShengYun Peng Mansi Phute Duen Horng Chau LM&MA AI4CE 257 3 0 05 Jun 2025
XAI-Units: Benchmarking Explainability Methods with Unit TestsConference on Fairness, Accountability and Transparency (FAccT), 2025 Jun Rui Lee Sadegh Emami Michael David Hollins Timothy C. H. Wong Carlos Ignacio Villalobos Sánchez Francesca Toni Dekai Zhang Adam Dejl 173 3 0 01 Jun 2025
ExplainBench: A Benchmark Framework for Local Model Explanations in Fairness-Critical Applications James Afful FAtt FedML 62 0 0 31 May 2025
Soft-CAM: Making black box models self-explainable for high-stakes decisions K. Djoumessi Philipp Berens FAtt BDL 343 1 0 23 May 2025
On the reliability of feature attribution methods for speech classification Gaofei Shen Hosein Mohebbi Arianna Bisazza Afra Alishahi Grzegorz Chrupała 266 0 0 22 May 2025
Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations Somnath Banerjee Pratyush Chatterjee Shanu Kumar Sayan Layek Parag Agrawal Rima Hazra Animesh Mukherjee AAML 411 0 0 20 May 2025