Title
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models Seongun Kim Sol-A. Kim Geonhyeong Kim Enver Menadjiev Chanwoo Lee Seongwook Chung Nari Kim Jaesik Choi 24 0 0 15 May 2025
Implet: A Post-hoc Subsequence Explainer for Time Series Models Fanyu Meng Ziwen Kan Shahbaz Rezaei Z. Kong Xin Chen Xin Liu AI4TS 14 0 0 13 May 2025
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability Zhiyu Zhu Jiayu Zhang Zhibo Jin Fang Chen Jianlong Zhou FAtt 24 0 0 03 May 2025
Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces Michael Pichat William Pogrund Paloma Pichat Judicael Poumay Armanouche Gasparian Samuel Demarchi Martin Corbet Alois Georgeon Michael Veillet-Guillem MILM 24 0 0 30 Apr 2025
Dual Explanations via Subgraph Matching for Malware Detection Hossein Shokouhinejad Roozbeh Razavi-Far Griffin Higgins Ali Ghorbani AAML 36 0 0 29 Apr 2025
Towards a deep learning approach for classifying treatment response in glioblastomas Ana Matoso Catarina Passarinho Marta P. Loureiro José Maria Moreira Patrícia Figueiredo Rita G. Nunes AI4CE 26 0 0 25 Apr 2025
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification Jiaxing Xu Kai He Yue Tang Wei Li Mengcheng Lan Xia Dong Yiping Ke Mengling Feng 14 0 0 12 Apr 2025
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability Mohammad Hossein Najafi Mohammad Morsali Mohammadreza Pashanejad Saman Soleimani Roudi Mohammad Norouzi Saeed Bagheri Shouraki AAML 23 0 0 07 Apr 2025
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python Martin Jullum Lars Henry Berge Olsen Jon Lachmann Annabelle Redelmeier TDI FAtt 68 2 0 02 Apr 2025
Fourier Feature Attribution: A New Efficiency Attribution Method Zechen Liu Feiyang Zhang Wei Song X. Li Wei Wei FAtt 57 0 0 02 Apr 2025
Which LIME should I trust? Concepts, Challenges, and Solutions Patrick Knab Sascha Marton Udo Schlegel Christian Bartelt FAtt 38 0 0 31 Mar 2025
Pairwise Matching of Intermediate Representations for Fine-grained Explainability Lauren Shrack T. Haucke Antoine Salaün Arjun Subramonian Sara Beery 49 0 0 28 Mar 2025
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays Ayesha Siddique Khurram Khalil K. A. Hoque 37 0 0 20 Mar 2025
Intra-neuronal attention within language models Relationships between activation and semantics Michael Pichat William Pogrund Paloma Pichat Armanouche Gasparian Samuel Demarchi Corbet Alois Georgeon Michael Veillet-Guillem MILM 41 0 0 17 Mar 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 97 1 0 13 Mar 2025
Tangentially Aligned Integrated Gradients for User-Friendly Explanations Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew FAtt 78 2 0 11 Mar 2025
Now you see me! A framework for obtaining class-relevant saliency maps Nils Philipp Walter Jilles Vreeken Jonas Fischer FAtt 40 0 0 10 Mar 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 65 0 0 09 Mar 2025
Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients Niklas Penzel Joachim Denzler FAtt 48 0 0 07 Mar 2025
Synthetic Categorical Restructuring large Or How AIs Gradually Extract Efficient Regularities from Their Experience of the World Michael Pichat William Pogrund Paloma Pichat Armanouche Gasparian Samuel Demarchi Martin Corbet Alois Georgeon Theo Dasilva Michael Veillet-Guillem 47 2 0 25 Feb 2025
Time-series attribution maps with regularized contrastive learning Steffen Schneider Rodrigo González Laiz Anastasiia Filippova Markus Frey Mackenzie W. Mathis BDL FAtt CML AI4TS 76 0 0 17 Feb 2025
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow Behrooz Azarkhalili Maxwell Libbrecht 34 0 0 14 Feb 2025
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Sonali Parbhoo Jesse Read FAtt XAI 98 0 0 11 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 68 2 0 28 Jan 2025
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense M. J. Idaji Oliver Eberle Thomas Schnake Jonas Dippel Laure Ciernik Oliver Buchstab Andreas Mock Frederick Klauschen Klaus-Robert Müller 49 3 0 08 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 34 2 0 03 Jan 2025
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons Michael Pichat William Pogrund Armanush Gasparian Paloma Pichat Samuel Demarchi Michael Veillet-Guillem 42 3 0 26 Dec 2024
Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data? Simon Langer J. Ritter R. Braren Daniel Rueckert Paul Hager 74 0 0 20 Dec 2024
Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning? Mengyu Ye Tatsuki Kuribayashi Goro Kobayashi Jun Suzuki LRM 92 0 0 20 Dec 2024
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data V. Saxena Benjamin Bashpole Gijs van Dijck Gerasimos Spanakis 72 0 0 18 Dec 2024
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation Kristoffer Wickstrøm Marina M.-C. Höhne Anna Hedström AAML 79 2 0 07 Dec 2024
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Alireza Maleki Mahsa Lavaei Mohsen Bagheritabar Salar Beigzad Zahra Abadi MQ 67 0 0 05 Dec 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 34 3 0 15 Nov 2024
LA4SR: illuminating the dark proteome with generative AI David R. Nelson Ashish Kumar Jaiswal Noha Ismail Alexandra Mystikou Kourosh Salehi-Ashtiani 22 0 0 11 Nov 2024
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services Zerui Wang Yan Liu Jun Huang 49 1 0 05 Nov 2024
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition Idris Zakariyya Linda Tran Kaushik Bhargav Sivangi Paul Henderson F. Deligianni 26 0 0 04 Nov 2024
Identifying Spatio-Temporal Drivers of Extreme Events Mohamad Hakam Shams Eddin Juergen Gall AI4TS 48 0 0 31 Oct 2024
Transformers to Predict the Applicability of Symbolic Integration Routines Rashid Barket Uzma Shafiq Matthew England Juergen Gerhard 21 0 0 31 Oct 2024
Guided Game Level Repair via Explainable AI Mahsa Bazzaz Seth Cooper 49 1 0 30 Oct 2024
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models Aymene Mohammed Bouayed Samuel Deslauriers-Gauthier Adrian Iaccovelli D. Naccache 25 0 0 30 Oct 2024
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images Elham Bagheri Yalda Mohsenzadeh 21 0 0 19 Oct 2024
PromptExp: Multi-granularity Prompt Explanation of Large Language Models Ximing Dong Shaowei Wang Dayi Lin Gopi Krishnan Rajbahadur Boquan Zhou Shichao Liu Ahmed E. Hassan AAML LRM 25 1 0 16 Oct 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 41 0 0 16 Oct 2024
Contrastive learning of cell state dynamics in response to perturbations Soorya Pradeep Alishba Imran Ziwen Liu Taylla Milena Theodoro Eduardo Hirata-Miyasaki ... Madhura Bhave Sudip Khadka Hunter Woosley Carolina Arias Shalin B. Mehta 23 0 0 15 Oct 2024
$$\texttt{dattri}$: A Library for Efficient Data Attribution$ $\texttt{dattri}$ : A Library for Efficient Data Attribution Junwei Deng Ting-Wei Li Shiyuan Zhang Shixuan Liu Yijun Pan Hao Huang Xinhe Wang Pingbang Hu Xingjian Zhang Jiaqi W. Ma TDI 34 3 0 06 Oct 2024
Explainable Earth Surface Forecasting under Extreme Events Oscar J. Pellicer-Valero Miguel-Ángel Fernández-Torres Chaonan Ji Miguel D. Mahecha Gustau Camps-Valls 21 0 0 02 Oct 2024
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 27 9 0 02 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 25 0 0 02 Oct 2024
A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification Marina Ribeiro Bárbara Malcorra Natália B. Mota Rodrigo Wilkens Aline Villavicencio Lilian C. Hubner César Rennó-Costa 19 1 0 30 Sep 2024
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution Alexander Hinterleitner T. Bartz-Beielstein Richard Schulz Sebastian Spengler Thomas Winter Christoph Leitenmeier 34 1 0 25 Sep 2024