| 2026 | XAI-Enabled Custom CNN for Cross-Modal Generalization in Breast Cancer Detection. | Maram Issaoui, Amal Jlassi, Abir Bazaoui, Walid Barhoumi |
| 2026 | Adversarial Confusion Attack: Disrupting Multimodal Large Language Models. | Jakub Hoscilowicz, Artur Janicki |
| 2026 | SPARC: Superpixel-based Black-Box Adversarial Attack with Regional Confidence. | Tram Ho, Ngoc-Thao Nguyen, Bac Le |
| 2026 | Drift Localization using Conformal Predictions. | Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2026 | Real vs. Virtual Drift: Creating Realistic Stream Learning Benchmarks. | Fabian Hinder, Johannes Brinkrolf, Kathrin Lammers, Barbara Hammer |
| 2026 | Stochastic Parroting in Temporal Attention - Regulating the Diagonal Sink. | Victoria Hankemeier, Malte Schilling |
| 2026 | Distillation of a tractable model from the VQ-VAE. | Armin Hadzic, Milan Papez, Toms Pevn |
| 2026 | Predictive Coding inspired convolutional networks can capture the neural dynamics of recurrent processing in human image recognition. | Manshan Guo, Bhavin Choksi, Sari Sadiya, Pablo Oyarzo, Radoslaw Martin Cichy, Gemma Roig |
| 2026 | Unpacking the Role of Intrinsic Motivation in Elastic Decision Transformers: A Post-Hoc Analysis of Embedding Geometry and Performance. | Leonardo Guiducci, Antonio Rizzo, Giovanna Maria Dimitri |
| 2026 | When Curvature Counts: Hyperbolic Geometry in Prototype-Based Image Classification. | Silvia Grosso, Samuele Fonio, Mirko Polato, Roberto Esposito, Sara Bouchenak |
| 2026 | Towards Learning a Generalizable 3D Scene Representation from 2D Observations. | Martin Gromniak, Jan-Gerrit Habekost, Sebastian Kamp, Sven Magg, Stefan Wermter |
| 2026 | Optimal Training of the Online Newton Algorithm based on Conformal CUSUM. | Thomas Grava, Frdric Vrins |
| 2026 | Clagging: Generating and combining predictions using clustering. | Arnaud Germain, Frdric Vrins |
| 2026 | Lightweight Personalisation for MEMS-Based Wearables: A Padel Stroke Recognition Case Study. | Alberto Gascn, Fatemeh Akbarian, Amir Aminifar, lvaro Marco, Roberto Casas |
| 2026 | Improving the Linearized Laplace Approximation via Quadratic Approximations. | Pedro Jimnez Garca-Ligero, Luis A. Ortega, Pablo Morales-lvarez, Daniel Hernndez-Lobato |
| 2026 | General Continual Unsupervised Learning with Augmented Vector Quantization. | Herv Frezza-Buet, Nasr Allah Aghelias, Bernard Girau |
| 2026 | Enriching Graph Topology Representations with Line Graph Transformations. | Paolo Frazzetto, Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2026 | Revisiting Neural Activation Coverage for Uncertainty Estimation. | Benedikt Franke, Nils Frster, Frank Kster, Markus Lange, Arne P. Raulf, Asja Fischer |
| 2026 | GraphTreeBoost: Soft Decision Tree-Based Graph Learning With Spectral Aggregation. | Lszl Fetter, Andrs Gzsi |
| 2026 | mDAE: modified Denoising AutoEncoder for missing data imputation. | Mariette Dupuy, Marie Chavent, Rmi Dubois |
| 2026 | See Without Decoding: Motion-Vector-Based Tracking in Compressed Video. | Axel Duch, Clment Chatelain, Gilles Gasso |
| 2026 | FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments. | Alejandro Dopico-Castro, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Ivn Prez Dign |
| 2026 | Energy-Based Dropout with Patch-Level Regularization. | Tom Devynck, Bilal Faye, Djamel Bouchaffra, Nadjib Lazaar, Hanene Azzag, Mustapha Lebbah |
| 2026 | THDC: Training Hyperdimensional Computing Models with Backpropagation. | Hanne Dejonghe, Sam Leroux |
| 2026 | Diminishing Returns - Data Integer Quantization and its Effects on Training Dynamics of Distance Based Classifiers. | Thomas Davies, Alexander Engelsberger, Magdalena Psenickova, Thomas Villmann |