| 2025 | Generating Synthetic Spectral Data using Conditional DDPM. | Fabian Kubiczek, Stefan Patzke, Jrg Thiem |
| 2025 | The Reinforced Liquid State Machine: A New Training Architecture for Spiking Neural Networks. | Dominik Krenzer, Martin Bogdan |
| 2025 | Continual Unlearning through Memory Suppression. | Alexander Krawczyk, Alexander Gepperth |
| 2025 | Unlocking Structured Thinking in Language Models with Cognitive Prompting. | Oliver Kramer, Jill Baumann |
| 2025 | RAM: Retrieval Augmented Modelling for Tabular In-Context Few-Shot Domain Adaptation. | Oleh Kostromin, Felix Kossak, Michael Zwick |
| 2025 | Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias. | Daniel Kopp, Benjamin Maudet, Lisheng Sun-Hosoya, Kristin P. Bennett |
| 2025 | Machine Learning and applied Artificial Intelligence in cognitive sciences and pyschology: a tutorial. | Caroline Knig, Alfredo Vellido |
| 2025 | JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning. | Tristan Kenneweg, Philip Kenneweg, Barbara Hammer |
| 2025 | Multi-View Graph Neural Network for Image Segmentation : Intermediate vs Late Fusion. | Elie Karam, Nisrine Jrad, Patty Coupeau, Doron Tobiano, Jean-Baptiste Fasquel, Fahed Abdallah |
| 2025 | Integrating Class Relation Knowledge in Probabilistic Learning Vector Quantization. | Marika Kaden, Ronny Schubert, Tina Geweniger, Wieland Hermann, Thomas Villmann |
| 2025 | Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach - FA(IR)$^2$MA-GLVQ. | Marika Kaden, Alexander Engelsberger, Ronny Schubert, Sofie Lvdal, Elina L. van den Brandhof, Michael Biehl, Thomas Villmann |
| 2025 | CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks. | Saeed S. Jahromi, Uygar Kurt, Sukhi Singh, David Montero, Borja Aizpurua, Romn Ors Lacort |
| 2025 | Quantum Tensor Network Learning with DMRG. | Gustav Jger, Martin B. Plenio, Hans-Martin Rieser |
| 2025 | Exploring Model Architectures for Real-Time Lung Sound Event Detection. | Michiel Jacobs, Lode Vuegen, Tom Verresen, Marie Schouterden, David Ruttens, Peter Karsmakers |
| 2025 | Semantic Segmentation for Waterbody Extraction Using Superpixels and Convolutional Neural Networks Classifier. | Salim Iratni, Ferhat Attal, Yacine Amirat, Abdelgahni chibani, Moussa Diaf |
| 2025 | Towards Streaming Land Use Classification of Images with Temporal Distribution Shifts. | Lorenzo Iovine, Giacomo Ziffer, Andrea Proia, Emanuele Della Valle |
| 2025 | Comparing Modern LLM Quantization Methods Across Natural Languages. | Maksym Iakovenko, Stphane Dupont |
| 2025 | INAM: Image-Scale Neural Additive Models. | Jana Hls, Jan-Ole Perschewski, Sebastian Stober |
| 2025 | Inferring Underwater Topography with Finite Volume Neural Networks. | Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte |
| 2025 | Adversarial Attacks for Drift Detection. | Fabian Hinder, Valerie Vaquet, Barbara Hammer |
| 2025 | Enhancing Machine Learning with Quantum Methods. | Manuel Lautaro Hickmann, Markus Lange, Hans-Martin Rieser |
| 2025 | Deciphering Barlow Twins: Reduncy Reduction is Insufficient and Normalization is Key. | Hans-Oliver Hansen, Marius Jahrens, Thomas Martinetz |
| 2025 | Improving Privacy Benefits of Redaction. | Vaibhav Gusain, Douglas J. Leith |
| 2025 | Predictive Coding Dynamics Enhance Model-Brain Similarity. | Manshan Guo, Michael Samjatin, Bhavin Choksi, Sari Sadiya, Radoslaw Martin Cichy, Gemma Roig |
| 2025 | Introducing Intrinsic Motivation in Elastic Decision Transformers. | Leonardo Guiducci, Giovanna Maria Dimitri, Giulia Palma, Antonio Rizzo |