| 2026 | Polarizing Kernels: A Definite Approach to Clustering with Indefinite Similarities. | Frank-Michael Schleif, Manuel Rder, Maximilian Mnch, Peter Preinesberger |
| 2026 | Non-Linear Activation Functions for Deep Riemannian Neural Networks. | Lucas Heck Dos Santos, Joo Guilherme Prado Barbon, Sylvain Chevallier, Denis G. Fantinato |
| 2026 | Weakly Supervised Shortcut Learning Mitigation Using Sparse Autoencoders. | Sari Sadiya, Muhammad Ahsan, Despina Tawadros, Phuong Quynh Le, Jrg Schltterer, Christin Seifert, Gemma Roig |
| 2026 | Cross-tested Aggregated Hold-out. | Joseph Rynkiewicz |
| 2026 | Assessing Graph Neural Networks for latency and power consumption prediction in application mappings on multicore architectures. | Oscar Roussel, Zainab Ghrayeb, Sbastien Le Nours, Christine Sinoquet |
| 2026 | But Are These Images Conceptually Similar? | Isaac Roberts, Riza Velioglu, Inaam Ashraf, Luca Hermes, Barbara Hammer |
| 2026 | A Possible Human-Centered Embedding Space Search in Degenerate Clifford Algebras. | Isaac Roberts, Louis Mozart Kamdem Teyou, Alexander Schulz, N'Dah Jean Kouagou, Axel-Cyrille Ngonga Ngomo, Barbara Hammer |
| 2026 | Towards meaningful evaluation of uncertainty-aware segmentation workflows for medical applications. | Dany Rimez, John A. Lee, Ana Maria Barragn-Montero |
| 2026 | Ring-constrained Molecular Graph Generation with Diffusion Models. | Davide Rigoni, Rana Islek, Nicol Navarin |
| 2026 | A Multi-Agent LLM System for Natural Language Querying of Operational Knowledge Graphs in Satellite Ground Stations. | Fosco Eugenio Quadri, Filippo Bianchini |
| 2026 | Movements as Images: CNNs are Good Feature Extractors in Sign Language Recognition. | Pierre Poitier, Loc Brangier, Ariel Basso Madjoukeng, Benot Frnay |
| 2026 | On the Impact of Differential Privacy on Federated Neuromorphic Learning Accuracy. | Luiz Pereira, Dalton C. G. Valadares, Mirko Perkusich, Kyller Costa Gorgnio |
| 2026 | Time Series Forecasting in the Presence of Explosive Bubbles. | Julien Peignon, Fabrice Rossi, Arthur Thomas |
| 2026 | Towards Understanding The Winner-Take-Most Behavior Of Neural Network Representations. | Gilles Peiffer, Christophe De Vleeschouwer, Simon Carbonnelle |
| 2026 | Local Concept Embeddings in the Context of Self-Supervised Learning. | Kim Paulke, Hans-Oliver Hansen, Thomas Martinetz, Gesina Schwalbe |
| 2026 | Emotion Recognition in Multimodal Social Data. | Lucia C. Passaro, Davide Amadei, Davide Bacciu |
| 2026 | Model Selection Hijacking Adversarial Attack. | Luca Pajola, Riccardo Petrucci, Francesco Marchiori, Luca Pasa, Mauro Conti |
| 2026 | Adversarial Robustness by Combining Prototype Models with Lipschitz Training. | Benjamin Paassen, Adia Khalid |
| 2026 | LLM-based Vulnerable Code Augmentation: Generate or Refactor? | Dyna Soumhane Ouchebara, Stphane Dupont |
| 2026 | Scalable Linearized Laplace Approximation via Surrogate Neural Kernel. | Luis A. Ortega, Simn Rodrguez Santana, Daniel Hernndez-Lobato |
| 2026 | Ensembling Post-Hoc Image Explanations: When It Works, When It Fails, and How to Tell the Difference. | Luca Oneto, Jinhua Xu, Davide Anguita, Fabio Roli, Jing Yuan |
| 2026 | Neuro Symbolic AI and Complex Data. | Luca Oneto, Nicol Navarin, Luca Pasa, Davide Rigoni, Davide Anguita |
| 2026 | Multi-label Complementary Labels Learning under Hard Logical Constraints. | Luca Oneto, Yi Gao, Davide Anguita, Fabio Roli, Min-Ling Zhang, Fulvio Mastrogiovanni |
| 2026 | On the Components That Enable Robust Generalization in HAR Models. | Otvio O. Napoli, Edson Borin |
| 2026 | Network analysis of conferences: Mapping the backbone of ESANN topics. | Arya Nair, Jens Christian Claussen |