Table of Contents

• Automated Learning of Semantic Embedding Representations for Diffusion ModelsLimai Jiang, Yunpeng Cai. 1-10 [doi]
• Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental SystemsArvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar 0001. 11-20 [doi]
• OpenFE++: Efficient Automated Feature Generation via Feature InteractionLei Wang, Yu Shi, Yifei Jin, Jian Li. 21-30 [doi]
• Acceleration in Low-Rank Tensor CompletionYifan Kang, Mengyuan Zhang 0002, Kai Liu 0028. 31-40 [doi]
• Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly LocalizationDzung T. Phan, Matt Menickelly, Tsuyoshi Idé, Jayant Kalagnanam. 41-50 [doi]
• Anomaly Detection via Graph Contrastive LearningEmre Sefer. 51-60 [doi]
• Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly DetectionLong Tan Le, Tung-Anh Nguyen, Han Shu, Suranga Seneviratne, Choong Seon Hong, Nguyen H. Tran. 61-70 [doi]
• Trajectory Anomaly Detection with By-Design Complementary DetectorsShurui Cao, Leman Akoglu. 71-80 [doi]
• Learning Confident Classifiers in the Presence of Label NoiseAsma Ahmed Hashmi, Aigerim Zhumabayeva, Nikita Kotelevskii, Artem Agafonov, Mohammad Yaqub, Maxim Panov, Martin Takác 0001. 81-113 [doi]
• TADAM: Learning Timed Automata from Noisy ObservationsLénaïg Cornanguer, Pierre-François Gimenez. 114-123 [doi]
• 1, ∞ Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature SpacesZhong Chen 0003, Yi He 0007, Di Wu 0056, Wenbin Zhang 0002, Zhiqiang Deng. 124-133 [doi]
• Label Shift Estimation With Incremental Prior UpdateYunrui Zhang, Gustavo Batista, Salil S. Kanhere. 134-142 [doi]
• Constraint-Focused Training for Multistate Survival Analysis with Neural NetworksRyosuke Takayama, Masanao Natsumeda. 143-151 [doi]
• Defense Against Shortest Path AttacksBenjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld. 152-160 [doi]
• Conformal Edge-Weight Prediction in Latent SpaceAkash Choudhuri, Yongjian Zhong, Mehrdad Moharrami, Christine Klymko, Mark Heimann, Jayaraman J. Thiagarajan, Bijaya Adhikari. 161-170 [doi]
• Efficient Sampling of Temporal Networks with Preserved Causality StructureFelix I. Stamm, Mehdi Naima, Michael T. Schaub. 171-180 [doi]
• StarRec: A Hypergraph-based Framework with Star-Expansion for Multi-Behavior RecommendationWenhan Zhang 0004, Zijian Song 0001, Yihuan Wu, Lifang Deng, Jiandong zhang, Kaigui Bian, Bin Cui 0001. 181-191 [doi]
• AWRS: An Avoidance-Aware Recommender SystemIgor L. R. Azevedo, Toyotaro Suzumura, Yuichiro Yasui. 192-202 [doi]
• Beyond Models! Explainable Data Valuation and Metric Adaption for RecommendationRenqi Jia, Xiaokun Zhang 0001, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma 0001. 203-212 [doi]
• CDSRNP: Cross-Domain Sequential Recommendation via Neural ProcessHaiPeng Li, Jiangxia Cao, Yiwen Gao 0001, Yunhuai Liu, Shuchao Pang. 213-222 [doi]
• Ranking with Confidence for Large Scale Comparison DataFilipa Valdeira, Cláudia Soares. 223-232 [doi]
• Differentially Private Associative Co-clusteringElena Battaglia, Ruggero G. Pensa. 233-241 [doi]
• Hierarchical Superpixel Segmentation via Structural Information TheoryMinhui Xie, Hao Peng 0001, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu 0001, Peng Li, Philip S. Yu. 242-251 [doi]
• DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative ClusteringShangdi Yu, Laxman Dhulipala, Jakub Lacki, Nikos Parotsidis. 252-260 [doi]
• DMDHC: Discovery of Multi-Density Hierarchical Cluster StructuresWalid Durani, Dominik Mautz, Claudia Plant, Christian Böhm 0001. 261-269 [doi]
• Multi-View Spectral Clustering for Graphs with Multiple View StructuresYorgos Tsitsikas, Evangelos E. Papalexakis. 270-278 [doi]
• Inter-Well Active Magnetic Ranging with Temporal and Interaction NetworkZelong Hao, Haitao Zhang, Yang Che, Wang Liu. 279-287 [doi]
• Unanticipated Replenishment: Online Policy for Dynamic Service Composition in Manufacturing CloudYang Hu, Feng Wu, Xin Li, Yu Yang 0001. 288-296 [doi]
• Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental EcosystemsYiming Sun 0004, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye 0002, Xiaowei Jia. 297-306 [doi]
• Bridging Numbers and Narratives: Enhancing Financial Market Risk Predictions through Numerical Information from Financial DocumentsYu Qin, Chengshang Zhang, Wei Xu. 307-316 [doi]
• Context-Aware Frequency-Embedding Networks for Spatio-Temporal Portfolio SelectionRuirui Liu 0002, Huichou Huang, Johannes Ruf, Haoxian Liu, Qingyao Wu. 317-326 [doi]
• Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) ScenariosZahra Khanjani, Vandana P. Janeja, Christine Mallinson, Sanjay Purushotham. 327-330 [doi]
• Heterogeneous Multi-Agent Framework for Dynamic Generalized Category DiscoveryFatimah Alotaibi, Adithya Kulkarni, Dawei Zhou 0003. 331-334 [doi]
• Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMsAdithya Kulkarni, Mohna Chakraborty. 335-338 [doi]
• Explainable AI for Real-Time Video Anomaly AnticipationDavid C. Anastasiu. 339-342 [doi]
• Evaluating Time Series Models with Knowledge DiscoveryLi Zhang. 343-346 [doi]
• Optimizing Transit Network Expansion with Gated Attentive Graph Reinforcement LearningFanglan Chen, Dongjie Wang, Jianfeng He, Shuo Lei, Chang-Tien Lu. 347-355 [doi]
• Feature Deviation Embedding Improves Graph Structure Learning for Spatial InterpolationChaofan Li, Till Riedel, Michael Beigl. 356-365 [doi]
• Equipping Graph Autoencoders: Revisiting Masking Strategies from a Robustness PerspectiveShuhan Song, Ping Li, Ming Dun, Yuan Zhang, Huawei Cao, Xiaochun Ye. 366-375 [doi]
• REGE: A Method for Incorporating Uncertainty in Graph EmbeddingsZohair Shafi, Germans Savcisens, Tina Eliassi-Rad. 376-385 [doi]
• Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through FlatnessTiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen 0001, Hua Wei 0001. 386-397 [doi]
• Language Models are Explorers for Join Discovery on Data LakesYaohua Wang, Bolin Ding, Rong Zhu, Haibin Wang, Zhijian Ma, Jingren Zhou 0001. 398-408 [doi]
• CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficHuaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei 0001. 409-418 [doi]
• CoT-Decoding: Complex Reasoning via Chain-of-Thought DecodingGuoquan Lu, Lin Peng, Li Li. 419-430 [doi]
• Optimizing External and Internal Knowledge of Foundation Models for Scientific DiscoverySikun Guo, Guangzhi Xiong, Aidong Zhang. 431-434 [doi]
• Data mining the functional architecture of the brain's circuitryAdam S. Charles. 435-438 [doi]
• What We Talk About When We Talk About AI for ScienceRunlong Yu, Yiqun Xie, Xiaowei Jia. 439-442 [doi]
• Better AI For Understanding Life on Earth: Predict First, Design LaterYana Bromberg, Amarda Shehu. 443-446 [doi]
• AnchorDrug: A system for drug-induced gene expression prediction in new contexts through active learningHan Meng, Ruoqiao Chen, Bin Chen, Jiayu Zhou. 447-456 [doi]
• Accurately Estimating Unreported Infections using Information TheoryJiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash. 457-466 [doi]
• MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome PredictionYiqing Zhang, Xiaozhong Liu, Fabricio Murai. 467-475 [doi]
• Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk PredictionAkash Choudhuri, Hieu Vu, Kishlay Jha, Bijaya Adhikari. 476-486 [doi]
• Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology DataMajid Farhadloo, Arun Sharma 0006, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar 0001. 487-496 [doi]
• VisTabNet: Adapting Vision Transformers for Tabular DataWitold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja. 497-506 [doi]
• Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural EntropyDingli Su, Hao Peng 0001, Guangjie Zeng, Pu Li, Angsheng Li, Yicheng Pan 0001. 507-515 [doi]
• Parameter-Efficient Interventions for Enhanced Model MergingMarcin Osial, Daniel Marczak, Bartosz Zielmski. 516-526 [doi]
• Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection EvaluationMuhammad Rajabinasab, Anton Danholt Lautrup, Arthur Zimek. 527-537 [doi]
• AutoSTDiff: Autoregressive Spatio-Temporal Denoising Diffusion Model for Asynchronous Trajectory GenerationRongchao Xu, Zhiqing Hong, Guang Wang 0001. 538-547 [doi]
• AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series GenerationMohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi. 548-557 [doi]
• Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor GraphWang-Tao Zhou, Zhao Kang 0001, Sicong Liu, Lizong Zhang, Ling Tian. 558-567 [doi]
• End-To-End Self-Tuning Self-Supervised Time Series Anomaly DetectionBoje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serrai Asensio, Jaemin Yoo, Leman Akoglu. 568-577 [doi]
• Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding PredictionGuangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng 0001, Liang Zhao 0002. 578-587 [doi]
• Evidence-Based Out-of-Distribution Detection on Multi-Label GraphsRuomeng Ding, Xujiang Zhao, Chen Zhao 0010, Minglai Shao 0001, Zhengzhang Chen, Haifeng Chen. 588-597 [doi]
• FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor SamplingEmir Ceyani, Han Xie, Baturalp Buyukates, Carl Yang 0001, Salman Avestimehr. 598-607 [doi]
• Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New BenchmarksDonald Loveland, Danai Koutra. 608-617 [doi]
• GAIM: Attacking Graph Neural Networks via Adversarial Influence MaximizationXiaodong Yang, Xiaoting Li 0001, Huiyuan Chen, Yiwei Cai. 618-626 [doi]
• Hybrid Bayesian Optimization with DIRECTHongsheng Liu, Dzung T. PhaC. 627-636 [doi]
• An Interpretable Measure for Quantifying Predictive Dependence between Continuous Random VariablesRenato Assunção, Flávio Figueiredo, Francisco N. Tinoco Júnior, Léo M. de Sá-Freire, Fábio Silva. 637-646 [doi]
• Approximating splits for decision trees quickly in sparse data streamsNikolaj Tatti. 647-655 [doi]
• Meta-learning of Class Knowledge in Zero-shot LearningYuta Nambu, Masahiro Kohjima, Tomoharu Iwata, Ryuji Yamamoto. 656-665 [doi]