| 2026 | Interpretable Parametric Neighbour Embedding. | Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt |
| 2026 | High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models. | Jos Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Lin Doan |
| 2026 | Deobfuscation as a GNN-Based Graph-Edit Problem by Reinforcement Learning. | Roxane Cohen, Robin David, Samuel Hangout, Florian Yger, Fabrice Rossi |
| 2026 | Memristive-Friendly Hadamard Reservoirs. | Andrea Ceni, Gianluca Milano, Carlo Ricciardi, Claudio Gallicchio |
| 2026 | Effects of a Parametrized Neighborhood Family on the Quality of Self-Organizing Maps. | Csar Crdenas, Erzsbet Mernyi |
| 2026 | Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models. | Jinghan Cao, Yu Ma, Xinjin Li, Qingyang Ren, Xiangyun Chen |
| 2026 | Kernel Thinning for faster KSVM hyper-parametrization. | Blanca Cano-Camarero, ngela Fernndez, Jos R. Dorronsoro |
| 2026 | A comparison of open time-series foundation models for industrial manufacturing applications. | Can Calisir, Simon Leszek |
| 2026 | AsymPuzl: A minimal puzzle testbed for LLM-based two agent communication with information asymmetry. | Xavier Cadet, Edward Koh, Peter Chin |
| 2026 | Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty. | Arnold Brosch, Abdelrahman Eldesokey, Michael Felsberg, Kira Maag |
| 2026 | On the Importance of Time Constants in Spiking Neural Networks. | Filippa Brandt, Saeed Bastani, Alexander Hunt, Amir Aminifar, Baktash Behmanesh |
| 2026 | The Alignment Gate: Intent and Instruction Guardrails for Agentic AI. | Akash Borigi, Peggy Lindner, Alexander Schlager, Saifullah Shoaib, Rupendra Lekkala, Sai Sowjanya Bhamidipati, Amaury Lendasse |
| 2026 | SMOTE k-out: Enhancing Class Separability through Outer Synthetic Sampling. | Vernica Boln-Canedo, Jos Luis Morillo-Salas, Laura Morn-Fernndez, Amparo Alonso-Betanzos |
| 2026 | Integrating Potential-Based Reward Shaping into AlphaZero. | Koen Boeckx, Xavier Neyt |
| 2026 | Fairness in machine learning: A Compact Survey. | Jeremy de Bodt, Dounia Mulders, Cyril de Bodt, John A. Lee, Marco Saerens |
| 2026 | On the Rank Properties of the Renormalization Trick in GCNs. | Anna Bison, Alessandro Sperduti |
| 2026 | AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks. | Bruno Belucci, Karim Lounici, Katia Meziani |
| 2026 | Exploring the Relationship Between Synaptic Dynamics Properties: Gain-Control and Temporal Filtering. | Ferney Beltran-Velandia, Nico Scherf, Martin Bogdan |
| 2026 | Graph Diffusion Counterfactual Explanation. | David Bechtoldt, Sidney Bender |
| 2026 | NSA: Neuro-symbolic ARC Challenge. | Pawel Batorski, Jannik Brinkmann, Paul Swoboda |
| 2026 | Alignment of Islamic Legal Texts. | Hazim Baroudi, Wassim Ammar, Farid Bouchiba, Shadha Karoumi Marmardji, Christian Mueller, Fabrice Rossi |
| 2026 | Implementation of Multi-Matrix Median Generalized Learning Vector Quantization. | Lukas Bader, Ina Terwey-Scheulen, Dietlind Zhlke |
| 2026 | A Deep Learning Diagnostic Observer for Time Series Anomaly Detection. | Assmaa AlSamadi, Fannia Pacheco, Paul Honeine |
| 2026 | Breaking the Trade-off between Performance and Cost with an Improved Untargeted APGD. | Ammar Al-Najjar, Mrk Jelasity |
| 2026 | Variational Deep Embedding for Unsupervised Clustering of Industrial Noise in Steelmaking Plants. | Muhammad Waseem Akram, Marco Vannucci, Giorgio Carlo Buttazzo, Valentina Colla, Stefano Dettori, Donatella Salvatore |