| 2025 | Inclusive Easy-to-Read Text Generation for Individuals with Cognitive Impairments. | Franois Ledoyen, Gal Dias, Alexis Lechervy, Jrmie Pantin, Fabrice Maurel, Youssef Chahir, Elisa Gouzonnat, Mlanie Berthelot, Stanislas Moravac, Armony Altinier, Amy Khairalla |
| 2025 | Early Detection of Skills Demand with Deep Learning-Based Timeline Cover on Temporal Knowledge Graph. | Giorgio Lazzarinetti, Christian Scquizzato, Alessandro Mangone, Jacopo Marcolini |
| 2025 | Participatory Budgeting with Donations: The Case of Selective Voters. | Philip Lazos, Evangelos Markakis, Georgios Papasotiropoulos |
| 2025 | Reasoning with Epistemic Rights and Duties: Automating a Dynamic Logic of the Right to Know in LogiKEy. | Lara Lawniczak, Luca Pasetto, Christoph Benzmller, Xu Li, Rka Markovich |
| 2025 | Safe Planning and Policy Optimization via World Model Learning. | Artem Latyshev, Gregory Gorbov, Aleksandr I. Panov |
| 2025 | Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization. | No Lallouet, Tristan Cazenave, Cyrille Enderli |
| 2025 | Post-Hoc Interpretation of POMDP Policies. | Geoffrey Laforest, Olivier Buffet, Alexandre Niveau, Bruno Zanuttini |
| 2025 | Improving Zero-Shot Generalization in Reinforcement Learning Through Abstract Representations. | Tsai Shuo Kuo, Ryutaro Ichise |
| 2025 | Binarizing Physics-Inspired GNNs for Combinatorial Optimization. | Martin Krutsky, Gustav Sr, Vyacheslav Kungurtsev, Georgios Korpas |
| 2025 | Generalized Proof-Number Monte-Carlo Tree Search. | Jakub Kowalski, Dennis J. N. J. Soemers, Szymon Kosakowski, Mark H. M. Winands |
| 2025 | DRACS: Diachronic Representation of Argument Construction Styles. | Yevhen Kostiuk, John Lawrence, Chris Reed |
| 2025 | Adaptive Pricing and Learning in the Multi-Market Routing Problem. | Behrad Koohy, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding |
| 2025 | Enabling Responsible AI with Humans. | Nadin Kkciyan |
| 2025 | Learning to InMoov: A Deep Learning Approach to Modeling Human Hand. | Vasileios Kochliaridis, Chrysoula Moschou, Alexandra Dimitrakopoulou, Ioannis P. Vlahavas |
| 2025 | Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models. | Patrick Knab, Sascha Marton, Christian Bartelt |
| 2025 | DEEPGRAPHLOG for Layered Neurosymbolic AI. | Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt |
| 2025 | Owen Sampling Accelerates Contribution Estimation in Federated Learning. | Hossein KhademSohi, Hadi Hemmati, Jiayu Zhou, Steve Drew |
| 2025 | Enhancing CBBA Convergence and Optimality Guarantees in Multiagent Task Allocation. | Alexandre Kha, Aurlie Beynier, Christophe Labreuche, Mathieu Marchand |
| 2025 | Neuro-Symbolic Framework Integrating Incremental Learning with LLM and Symbolic Reasoning on Unknown Objects. | Imad Eddine Kenai, Abdelghani Chibani, Ferhat Attal, Ilies Chibane, Yacine Amirat |
| 2025 | Distributed Detection of Adversarial Attacks in Multi-Agent Reinforcement Learning with Continuous Action Space. | Kiarash Kazari, Ezzeldin Shereen, Gyrgy Dn |
| 2025 | Learning After Model Deployment. | Derda Kaymak, Gyuhak Kim, Tomoya Kaichi, Tatsuya Konishi, Bing Liu |
| 2025 | P-CAFE: Personalized Cost-Aware Incremental Feature Selection for Electronic Health Records. | Naama Kashani, Mira Cohen, Uri Shaham |
| 2025 | Learning a Universal Crime Predictor with Knowledge-Guided Hypernetworks. | Fidan Karimova, Tong Chen, Yu Yang, Shazia Sadiq |
| 2025 | Truthful Facility Location with Candidate Locations and Limited Resources. | Panagiotis Kanellopoulos, Alexandros A. Voudouris |
| 2025 | FTIO: Frequent Temporally Integrated Objects. | Mohammad Mohammadzadeh Kalati, Farhad Maleki, Ian McQuillan |