Title
Implet: A Post-hoc Subsequence Explainer for Time Series Models Fanyu Meng Ziwen Kan Shahbaz Rezaei Z. Kong Xin Chen Xin Liu AI4TS 322 1 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 178 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 219 0 0 30 Apr 2025
Dual Explanations via Subgraph Matching for Malware Detection Hossein Shokouhinejad Roozbeh Razavi-Far Griffin Higgins Ali Ghorbani AAML 212 2 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 160 0 0 25 Apr 2025
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition IdentificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Jiaxing Xu Kai He Yue Tang Wei Li Mengcheng Lan Xia Dong Yiping Ke Mengling Feng 270 2 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 255 0 0 07 Apr 2025
Fast Fourier Correlation is a Highly Efficient and Accurate Feature Attribution Algorithm from the Perspective of Control Theory and Game Theory Zechen Liu Feiyang Zhang Wei Song Xuelong Li Wei Wei FAtt 344 0 0 02 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 329 4 0 02 Apr 2025
Which LIME should I trust? Concepts, Challenges, and Solutions Katharina Prasse Sascha Marton Udo Schlegel Christian Bartelt FAtt 324 8 0 31 Mar 2025
Pairwise Matching of Intermediate Representations for Fine-grained Explainability Lauren Shrack T. Haucke Antoine Salaün Arjun Subramonian Sara Beery 258 1 0 28 Mar 2025
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic ArraysIEEE International Symposium on Quality Electronic Design (ISQED), 2025 Ayesha Siddique Khurram Khalil K. A. Hoque 137 1 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 228 0 0 17 Mar 2025
Axiomatic Explainer Globalness via Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 477 2 0 13 Mar 2025
Tangentially Aligned Integrated Gradients for User-Friendly ExplanationsIrish Conference on Artificial Intelligence and Cognitive Science (AICS), 2025 Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew FAtt 260 5 0 11 Mar 2025
Now you see me! Attribution Distributions Reveal What is Truly Important for a Prediction Nils Philipp Walter Jilles Vreeken Jonas Fischer FAtt 246 0 0 10 Mar 2025
FW-Shapley: Real-time Estimation of Weighted Shapley ValuesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 298 3 0 09 Mar 2025
Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients Niklas Penzel Joachim Denzler FAtt 277 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 185 2 0 25 Feb 2025
SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan DetectionIEEE VLSI Test Symposium (VTS), 2025 Tanzim Mahfuz Pravin Gaikwad Tasneem Suha Swarup Bhunia Prabuddha Chakraborty 114 0 0 21 Feb 2025
B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability Yifan Wang Sukrut Rao Ji-Ung Lee Mayank Jobanputra Vera Demberg 171 2 0 18 Feb 2025
MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting InfrastructureIEEE Symposium on Security and Privacy (S&P), 2025 Fatih Deniz Mohamed Nabeel Ting Yu Issa M. Khalil 150 1 0 17 Feb 2025
Time-series attribution maps with regularized contrastive learningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Steffen Schneider Rodrigo González Laiz Anastasiia Filippova Markus Frey Mackenzie W. Mathis BDL FAtt CML AI4TS 230 3 0 17 Feb 2025
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum FlowAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Behrooz Azarkhalili Maxwell Libbrecht 201 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 317 1 0 11 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently InterpretableNeural Information Processing Systems (NeurIPS), 2024 Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 313 10 0 28 Jan 2025
xMIL: Insightful Explanations for Multiple Instance Learning in HistopathologyNeural Information Processing Systems (NeurIPS), 2024 Julius Hense M. J. Idaji Oliver Eberle Thomas Schnake Jonas Dippel Laure Ciernik Oliver Buchstab Andreas Mock Frederick Klauschen Klaus-Robert Müller 211 7 0 08 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and MetricsNeural Information Processing Systems (NeurIPS), 2024 Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 548 16 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 228 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 285 0 0 20 Dec 2024
Can Input Attributions Explain Inductive Reasoning in In-Context Learning?Annual Meeting of the Association for Computational Linguistics (ACL), 2024 Mengyu Ye Tatsuki Kuribayashi Goro Kobayashi Jun Suzuki LRM 351 3 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 201 0 0 18 Dec 2024
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation Kristoffer Wickstrøm Marina M.-C. Höhne Anna Hedström AAML 352 5 0 07 Dec 2024
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification TaskConference Information and Communication Technology (ICT), 2024 Alireza Maleki Mahsa Lavaei Mohsen Bagheritabar Salar Beigzad Zahra Abadi MQ 208 2 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 211 24 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 157 0 0 11 Nov 2024
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI ServicesIEEE Transactions on Cloud Computing (TCC), 2024 Zerui Wang Yan Liu Jun Huang 211 9 0 05 Nov 2024
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Paul Henderson Linda Tran Kaushik Bhargav Sivangi Paul Henderson Fani Deligianni 230 2 0 04 Nov 2024
Identifying Spatio-Temporal Drivers of Extreme EventsNeural Information Processing Systems (NeurIPS), 2024 Mohamad Hakam Shams Eddin Juergen Gall AI4TS 248 0 0 31 Oct 2024
Transformers to Predict the Applicability of Symbolic Integration Routines Rashid Barket Uzma Shafiq Matthew England Juergen Gerhard 171 2 0 31 Oct 2024
Guided Game Level Repair via Explainable AIArtificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 2024 Mahsa Bazzaz Seth Cooper 265 5 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 181 0 0 30 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Maurice Kraus Felix Divo Devendra Singh Dhami Kristian Kersting AI4TS 181 13 0 22 Oct 2024
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images Elham Bagheri Yalda Mohsenzadeh 322 2 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 315 4 0 16 Oct 2024
Rethinking Visual Counterfactual Explanations Through Region ConstraintInternational Conference on Learning Representations (ICLR), 2024 Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 149 9 0 16 Oct 2024
DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization Eduardo Hirata-Miyasaki Soorya Pradeep Ziwen Liu Alishba Imran Taylla Milena Theodoro ... Michelle Grunberg Hunter Woosley Madhura Bhave Carolina Arias Shalin B. Mehta 267 0 0 15 Oct 2024
$$\texttt{dattri}$: A Library for Efficient Data Attribution$ $\texttt{dattri}$ : A Library for Efficient Data AttributionNeural Information Processing Systems (NeurIPS), 2024 Junwei Deng Ting-Wei Li Shiyuan Zhang Shixuan Liu Yijun Pan Hao Huang Xinhe Wang Pingbang Hu Xingjian Zhang Jiaqi W. Ma TDI 158 13 0 06 Oct 2024
Explainable Earth Surface Forecasting under Extreme EventsEarth's Future (ESF), 2024 Oscar J. Pellicer-Valero Miguel-Ángel Fernández-Torres Chaonan Ji Miguel D. Mahecha Gustau Camps-Valls 126 2 0 02 Oct 2024
shapiq: Shapley Interactions for Machine LearningNeural Information Processing Systems (NeurIPS), 2024 Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 166 30 0 02 Oct 2024