Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operatorsby Xiucai Ding, Rong…
Multi-order Graph Clustering with Adaptive Node-level Weight Learningby Ye Liu, Xuelei Lin, Yejia Chen, Reynold…
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solvingby Aniket Didolkar, Anirudh Goyal, Nan…
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clusteringby Li Sun, Zhenhao Huang, Hao…
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learningby Xin Liu, Yaran Chen, Dongbin…
Joint Analysis of Single-Cell Data across Cohorts with Missing Modalitiesby Marianne Arriola, Weishen Pan, Manqi…
Towards Modular LLMs by Building and Reusing a Library of LoRAsby Oleksiy Ostapenko, Zhan Su,…
Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidanceby Huibing Wang, Mingze Yao, Yawei Chen, Yunqiu Xu,…
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecastingby Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen…
Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Modelsby Dapeng Shi, Tiandong Wang,…