| 2026 | Learning and Reasoning on Knowledge and Heterogeneous Graphs in the era of Graph Foundation and Large Language Models. | Matteo Zignani, Pasquale Minervini, Roberto Interdonato, Manuel Dileo |
| 2026 | Neuromodulated Delta Adapters: Stabilizing Test-Time Adaptation via Gated Error Correction. | Jiarui Zhang, Yifan Deng |
| 2026 | Physics-Informed Recurrent Architecture with Embedded Thermodynamic Dynamics for Robust Sequence Modeling. | Zafer Yigit, Hkan Forsberg, Masoud Daneshtalab |
| 2026 | Efficient and Resilient Machine Learning for Industrial Applications. | Philipp Wissmann, Philip Naumann, Daniel Hein, Steffen Udluft, Marc Weber, Simon Leszek, Thomas A. Runkler |
| 2026 | Point-wise Q-value maximization for converging Q-learning in continuous state-spaces. | Philipp Wissmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2026 | GNNs Don't Need Backprop. | Pascal Welke, Benoit Goupil, Fabian Jogl |
| 2026 | Where to grow: a surprisingly straightforward criterion to detect under-expressive layers. | Yifan Wang, Julien Mille, Moncef Hidane |
| 2026 | Hub-Aware Hybrid Search: Accelerating the Locally Aligned Ant Technique. | Simone Vilardi, Reynier Peletier, Felipe Contreras, Kerstin Bunte |
| 2026 | Identifying counterfactual probabilities using bivariate distributions and uplift modeling. | Tho Verhelst, Gianluca Bontempi |
| 2026 | Autoencoders versus PCA for feature extraction in FDG PET scans in neurodegenerative diseases. | Roland J. Veen, Sofie Lvdal, Kaitlin Vos, Ciro Setolino, Sanne K. Meles, Michael Biehl |
| 2026 | Beyond Performance: Comprehensive Evaluation Strategies for Impactful Machine Learning. | Valerie Vaquet, Ulrike Kuhl, Sasa Brdnik, Benjamin Paassen |
| 2026 | Low-Rank Lens for Scalable LLMs Interpretability. | Giuseppe Trimigno, Gianfranco Lombardo, Stefano Cagnoni |
| 2026 | Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models. | Ziyi Tong, Feifei Sun, Le Minh Nguyen |
| 2026 | TSFM in-context learning for time-series classification of bearing-health status. | Michel Tokic, Slobodan Djukanovic, Anja von Beuningen, Cheng Feng |
| 2026 | Four Quadrants of Difficulty: A Categorisation for Curriculum Learning in NLP. | Vanessa Toborek, Sebastian Mller, Christian Bauckhage |
| 2026 | SPDNet-AE: a Compact SPD Representation through Riemannian Autoencoding. | Thibault de Surrel, Charlotte Boucherie, Florian Yger |
| 2026 | Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data. | Samuel Surez-Marcote, Abhijeet Vishwasrao, Ricardo Vinuesa, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2026 | Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity. | Leonardo Stoppani, Davide Bacciu, Shahab Mokarizadeh |
| 2026 | Code-Guided Reasoning in Vision-Language Models for Complex Diagram Understanding. | Daniel Steinigen, Lucie Flek, Sebastian Houben |
| 2026 | Mixed-Density Diffuser: Efficient Planning with Non-Uniform Temporal Resolution. | Crimson Stambaugh, Rajesh P. N. Rao |
| 2026 | Scaling up graph-based classifiers with a divide and conquer approach. | Caius Souza, Rafael Lopes Almeida, Frederico Gualberto Ferreira Coelho, Antnio de Pdua Braga |
| 2026 | Enhancing classification performance at the RAM-neuron level. | Antonio Sorgente, Gianluca Coda, Alessandro De Gregorio, Massimo De Gregorio, Paolo Vanacore |
| 2026 | Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance. | Bram Silue, Santiago Amaya-Corredor, Patrick Mannion, Lander Willem, Pieter Libin |
| 2026 | Topology-Preserving Prototype Learning on Riemannian Manifolds. | Lucas Schwarz, Magdalena Psenickova, Thomas Villmann, Florian Rhrbein |
| 2026 | Linearity of Sensitive Concepts in Language Models. | Sarah Schrder, Valerie Vaquet, Barbara Hammer |