| 2026 | A Collaborative Distillation Framework for Graph Neural Networks. | Paul Agbaje, Arkajyoti Mitra, Afia Anjum, Pranali Khose, Ebelechukwu Nwafor, Habeeb Olufowobi |
| 2025 | Network Science Meets AI: A Converging Frontier. | Matteo Zignani, Fragkiskos D. Malliaros, Ingo Scholtes, Roberto Interdonato, Manuel Dileo |
| 2025 | A feedback-loop approach for galaxy physical properties estimation. | Davide Zago, Giovanni Bonetta, Rossella Cancelliere, Mario Gai |
| 2025 | Multimodal Explainable Automated Diagnosis of Autistic Spectrum Disorder. | Meryem Ben Yahia, Moncef Garouani, Julien Aligon |
| 2025 | Is Q-learning an Ill-posed Problem? | Philipp Wissmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2025 | Reducing the stability gap for continual learning at the edge with class balancing. | Wei Wei, Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets |
| 2025 | Explaining Outliers using Isolation Forest and Shapley Interactions. | Roel Visser, Fabian Fumagalli, Maximilian Muschalik, Eyke Hllermeier, Barbara Hammer |
| 2025 | Investigating four deep learning approaches as candidates for unified models in time series forecasting and event prediction: application in anesthesia training. | Quentin Victor, Ianis Clavier, Hugo Boisaubert, Fabien Picarougne, Corinne Lejus-Bourdeau, Christine Sinoquet |
| 2025 | Shallow convolution and attention-based models for micro-expression recognition. | Tanmay T. Verlekar, Prateek Upadhya |
| 2025 | Compression-based | Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Barbara Hammer |
| 2025 | SecureBFL: a Blockchain-enhanced federated learning architecture with MPC. | Tanguy Vansnick, Leandro Collier, Sad Mahmoudi |
| 2025 | Enhancing Computer Vision with Knowledge: a Rummikub Case Study. | Simon Vandevelde, Laurent P. Mertens, Sverre Lauwers, Joost Vennekens |
| 2025 | Encoding Graph Topology with Randomized Ising Models. | Domenico Tortorella, Antonio Brau, Alessio Micheli |
| 2025 | Solving Turbulent Rayleigh-Bnard Convection using Fourier Neural Operators. | Michiel Straat, Thorben Markmann, Barbara Hammer |
| 2025 | Implicit Neural Decision Trees. | Francesco Spinnato, Antonio Mastropietro, Riccardo Guidotti |
| 2025 | Topology-Aware Activation Functions in Neural Networks. | Pavel Snopov, Oleg R. Musin |
| 2025 | Generate Polyphonic Music with Multivariate Masked Autoregressive Flow. | Massimiliano Sirgiovanni, Daniele Castellana |
| 2025 | Machine Learning on Smartphone-Captured Diffraction Data. | Udo Seiffert, Ashish Shivajirao Jadhav, Andreas Backhaus |
| 2025 | Early Prediction of Dynamic Sparsity in Large Language Models. | Reza Sedghi, Amit Kumar Pal, Anand Subramoney, David Kappel |
| 2025 | Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models. | Sarah Schrder, Alexander Schulz, Barbara Hammer |
| 2025 | The Regulatory Character of Boredom in AI - Towards a Self-Regulating System based on Spiking Neural Networks. | Patrick Schfer, James Danckert, Peter F. Stadler, Martin Bogdan |
| 2025 | Screening Dyslexia for English: Impact of Heterogeneity in Demographic Variables. | Enrique Romero, Luz Rello |
| 2025 | Resource-Aware Cooperation in Federated Learning. | Manuel Rder, Fabian Geiger, Frank-Michael Schleif |
| 2025 | Conceptualizing Concept Drift. | Isaac Roberts, Fabian Hinder, Valerie Vaquet, Alexander Schulz, Barbara Hammer |
| 2025 | Multiclass Adaptive Subspace Learning. | Peter Preinesberger, Maximilian Mnch, Frank-Michael Schleif |