Table of Contents

• MRT-NAS: Boosting Training-Free NAS via Manifold RegularizationPengjun Chen, Yanqiao Zhu, Jian Gao, Haidong Kang, Lianbo Ma. 1-12 [doi]
• MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger ModelsJin Xie, Danny H. K. Tsang, Songze Li. 13-25 [doi]
• DeepCTL: Neural Branching-Time CTL Satisfiability Checking via Recursive Decision TreesBingchang Yuan, Zhaohui Wang, LingFeng Zhang, JingRan Yang, Bojie Shao, Min Zhang. 26-41 [doi]
• MFMamba: A Hierarchical Weakly Causal Mamba with Multi-scale Feature Fusion for Vision TasksZechen Sun, Cheng Cheng, Zuogong Yue. 42-54 [doi]
• Characterizing Trainability, Expressivity and Generalization of Neural Architecture with Metrics from Neural Tangent KernelXinyu Chen, Jinlong Li 0001, Faiza Amin, Huanhuan Chen. 55-67 [doi]
• Unrolled Neural Adaptive Alternating Gradient Descent for NMFToshimitsu Aritake. 68-79 [doi]
• FedTP: Traceable Passport-Based Ownership Verification for Federated Deep Neural Network ModelsQiRui Sa, Yifei Zhang, Weijing You, Cunqing Ma, WeiYang Qiu. 80-92 [doi]
• Learning to Optimize Entropy in the Soft Actor-CriticZhilei Zhou, Malcolm I. Heywood. 93-104 [doi]
• Parallelizing Sharpness-Aware Minimization: A Semi-asynchronous, Small-Batch ApproachWeimin Li, Yuzhong Sun. 105-118 [doi]
• Small Transformer Architectures for Task SwitchingClaudius Gros. 119-127 [doi]
• Stochastic Covariance Regularization for Imbalanced DatasetsAhmet Erdem, Faik Boray Tek. 128-140 [doi]
• Efficient Learning in Spiking Neural Networks - Introducing Feedback Alignment to the Reinforced Liquid State MachineDominik Krenzer, Martin Bogdan. 141-152 [doi]
• Object-Centric DreamerLeonid Ugadiarov, Vitaliy Vorobyov, Aleksandr Panov. 153-165 [doi]
• How Inductive Biases Affect OOD Generalization: A Study in Formal Language Recognition with Autoregressive ModelsJohn Mitros. 166-181 [doi]
• Brain Generative Replay for Continual LearningJianguo Zhou, Dongjun Liu, Wanzeng Kong. 182-194 [doi]
• Dynamic Ensembles Towards Out-of-Distribution Generalization of Affect ModelsSean Vella Caruana, Athanasios Papathanasiou, Konstantinos Makantasis. 195-207 [doi]
• 2R: Dual Regularization Loss with Collaborative Adversarial Generation for Model RobustnessZhenyu Liu, Huizhi Liang, Rajiv Ranjan 0001, Zhanxing Zhu, Václav Snásel, Varun Ojha 0001. 208-220 [doi]
• The Power of Max Pooling LayerJirí Síma, Jérémie Cabessa. 221-233 [doi]
• Firing Rates and Representational Error in Efficient Spiking Networks Are Bounded by DesignMatin Urdu, Gabriel Matías Lorenz, Ching-Peng Huang, Stefano Panzeri, Veronika Koren. 234-246 [doi]
• CIBR: Cross-Modal Information Bottleneck Regularization for Robust CLIP GeneralizationYingrui Ji, Xi Xiao, Gaofei Chen, Hao Xu, Chenrui Ma, Lijing Zhu, Aokun Liang, Jiansheng Chen. 247-259 [doi]
• Cascade Pre-attention: Regulating Neuronal Activation Distributions in MetaFormer-Based Spiking Neural NetworksYukun Xue, Lichen Feng. 260-271 [doi]
• MTL-SIMNAS: Task Similarity-Driven Neural Architecture Search for Enhanced Multi-task LearningQuinten Danneels, Mathias Verbeke. 272-284 [doi]
• Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search ApproachBabatounde Moctard Oloulade, Jianliang Gao, Raeed Al-Sabri, Jiamin Chen, Zhenpeng Wu. 285-297 [doi]
• Improving Stability of Parameter Sharing in Cooperative Multi-agent Reinforcement LearningYurui Li, Li Zhang 0045, Shijian Li, Gang Pan 0001. 298-309 [doi]
• The Explainability-Performance Coefficient: A New Metric for Model TransparencyChristian Oliva, Luis Fernando Lago-Fernández. 310-322 [doi]
• GLFMamba-U: Global-Local Fused Mamba-UnetZiniu Liu, Fengxia Han, Xi Zhang, Chuan Liu, Daqiang Zhang 0001, Mingqing Liu, Hao Deng 0002, Shengjie Zhao 0001. 323-335 [doi]
• Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced DataKathrin Lammers, Valerie Vaquet, Barbara Hammer. 336-348 [doi]
• Evaluating the Impact of Data Curation on Off-Policy Reinforcement LearningMatthias Blum, Shahram Eivazi. 349-360 [doi]
• Enhancing Graph Neural Networks with Mixup-Based Knowledge DistillationTianai Yue, Jing Liu. 361-378 [doi]
• A Framework for Uncertainty Quantification Based on Nearest Neighbors Across LayersMiguel N. Font, Jose L. Jorro-Aragoneses, Carlos M. Alaíz. 379-390 [doi]
• FedP2PAvg: A Peer-to-Peer Collaborative Framework for Federated Learning in Non-IID ScenariosBruno J. T. Fernandes, Agostinho Freire, João V. R. de Andrade, Leandro H. de S. Silva, Nicolás Navarro-Guerrero. 391-403 [doi]
• Correcting the Modified Stochastic Synaptic Model of Synaptic Dynamics Refinement of Vesicle and Neurotransmitters FunctionsFerney Beltran-Velandia, Nico Scherf, Martin Bogdan. 404-415 [doi]
• Improving Monotonic Optimization in Heterogeneous Multi-agent Reinforcement Learning with Optimal Marginal Deterministic Policy GradientXiaoyang Yu, Youfang Lin, Shuo Wang 0031, Sheng Han 0001. 416-429 [doi]
• Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained DevicesSamuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo. 430-441 [doi]
• Enhancing Adversarial Robustness Through Multi-objective Representation LearningSèdjro Salomon Hotegni, Sebastian Peitz. 442-454 [doi]
• Trustworthy Learning with Noisy LabelsZhen Wang 0033, Pengfei Li, Wenyu Jia, Yongfeng Dong. 455-468 [doi]
• Effect of Neuromodulation on the Brain Dynamical RepertoireDamien Depannemaecker, Gabriele Casagrande, Augustinas Povilas Fedaravicius, Ausra Saudargiene, Pierpaolo Sorrentino, Viktor K. Jirsa, Maria Luisa Saggio. 469-479 [doi]
• Classification of Large Data Sets by Neural Networks: A Probabilistic ViewpointVera Kurková, Marcello Sanguineti. 480-486 [doi]
• Identification and Realization of a Class of Discrete Event Systems by Neural Networks-Timed Petri NetsYasuaki Kuroe. 487-496 [doi]
• Dopamine-Modulated Learning and Decision-Making with Neuromorphic ComputingPavan Kumar Enuganti, Basabdatta Sen Bhattacharya. 497-508 [doi]
• A Unified Platform to Evaluate STDP Learning Rule and Synapse Model Using Pattern Recognition in a Spiking Neural NetworkJaskirat Singh Maskeen, Sandip Lashkare. 509-520 [doi]
• XOOD: A Self-supervised Algorithm for Detecting Out-of-Distribution Data for Image ClassificationFrej Berglind, Magesh Rajasekaran, Md Saiful Islam Sajol, Haron Temam, Supratik Mukhopadhyay, Kamalika Das, Kumar Sricharan, Kumar Kallurupalli. 521-532 [doi]
• Perpetual Generation: Online Learning of Linear State-Space Models from a Single StreamMichele Casoni, Tommaso Guidi, Stefano Melacci, Alessandro Betti, Marco Gori. 533-544 [doi]
• Minimal Convolutional RNNs Accelerate Spatiotemporal LearningCosku Can Horuz, Sebastian Otte, Martin V. Butz, Matthias Karlbauer. 545-557 [doi]
• Full Integer Arithmetic Online Training for Spiking Neural NetworksIsmael Gomez, Guangzhi Tang. 558-569 [doi]
• Regularised Loss Function for Goal Recognition as a Deep Learning TaskMatteo Olivato, Mattia Chiari, Lorenzo Serina, Valerio Borelli, Massimiliano Tummolo, Ivan Serina, Nicholas Rossetti, Alfonso Emilio Gerevini. 570-581 [doi]
• Improving Consistency Distillation with Rectified TrajectoriesHan Zhang, Fan Cheng. 582-599 [doi]
• Merging Versus Separating Replay Samples in Continual LearningAndrii Krutsylo. 600-608 [doi]
• Signal-to-Noise Difference as a Correlate of Class Learning in Neural NetworksBenjamín Pascual-Estrugo, Salva Ardid. 609-620 [doi]
• Catastrophic Forgetting Mitigation via Discrepancy-Weighted Experience ReplayXinrun Xu, Jianwen Yang, Qiuhong Zhang, Zhanbiao Lian, Zhiming Ding, Shan Jiang. 621-632 [doi]
• Supervised Feature Selection with Class Self-representationBo Peng, Yan Chu 0001, Baihan Jing, Xu Huang, Zhengkui Wang, Zhong Chu. 633-644 [doi]
• Complexity and Criticality in Neuro-Inspired ReservoirsMichiel van der Vlag, Alper Yegenoglu, Cristian Jimenez-Romero, Abigail Morrison, Sandra Diaz-Pier. 645-657 [doi]
• A Fokker-Planck Perspective on the Flow of Information in Continuous Memory Neural NetworksRoseli Suzi Wedemann, Angel Ricardo Plastino. 658-669 [doi]