| 2023 | Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation. | Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen |
| 2023 | Learning Dual Mean Field Games on Graphs. | Xu Chen, Shuo Liu, Xuan Di |
| 2023 | Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks. | Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li |
| 2023 | Diffusion Model for Camouflaged Object Detection. | Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin |
| 2023 | Cooperative Thresholded Lasso for Sparse Linear Bandit. | Xiaotong Cheng, Setareh Maghsudi |
| 2023 | Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search. | Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | Exploring Multi-Task Learning for Explainability. | Foivos Charalampakos, Iordanis Koutsopoulos |
| 2023 | Post-hoc Rule Based Explanations for Black Box Bayesian Optimization. | Tanmay Chakraborty, Christian Wirth, Christin Seifert |
| 2023 | Obstruction Logic: A Strategic Temporal Logic to Reason About Dynamic Game Models. | Davide Catta, Jean Leneutre, Vadim Malvone |
| 2023 | Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. | Alberto Castagna, Ivana Dusparic |
| 2023 | Theoretical Remarks on Feudal Hierarchies and Reinforcement Learning. | Diogo S. Carvalho, Francisco S. Melo, Pedro A. Santos |
| 2023 | Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. | Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao |
| 2023 | A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. | Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang |
| 2023 | Credal Learning: Weakly Supervised Learning from Credal Sets. | Andrea Campagner |
| 2023 | CICERO: A GPT2-Based Writing Assistant to Investigate the Effectiveness of Specialized LLMs' Applications in e-Justice. | Marco Calamo, Francesca De Luzi, Mattia Macr, Tommaso Mencattini, Massimo Mecella |
| 2023 | Mark My Words: Dangers of Watermarked Images in ImageNet. | Kirill Bykov, Klaus-Robert Mller, Marina M.-C. Hhne |
| 2023 | A Semantic Approach to Decidability in Epistemic Planning. | Alessandro Burigana, Paolo Felli, Marco Montali, Nicolas Troquard |
| 2023 | Environmentally-Aware Bundle Recommendation Using the Choquet Integral. | Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini |
| 2023 | Efficiently Computing Smallest Agreeable Sets. | Robert Bredereck, Till Fluschnik, Nimrod Talmon |
| 2023 | High-Multiplicity Fair Allocation Using Parametric Integer Linear Programming. | Robert Bredereck, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier |
| 2023 | Enhancing Computer Science Education by Automated Analysis of Students' Code Submissions. | Lea Eileen Brauner, Frank Hppner |
| 2023 | Multi-Mind Dynamics in Intentional Agents. | Andreas Brnnstrm, Juan Carlos Nieves |
| 2023 | On Sustainable Ride Pooling Through Conditional Expected Value Decomposition. | Avinandan Bose, Hao Jiang, Pradeep Varakantham, Zichang Ge |
| 2023 | Leveraging Error Patterns to Correct Prediction Intervals. | Thomas Bonnier |
| 2023 | FOND Planning for Pure-Past Linear Temporal Logic Goals. | Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini, Enrico Scala |