Summary of A Theory Of Interpretable Approximations, by Marco Bressan et al.
A Theory of Interpretable Approximationsby Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran,…
Summary of Finite-difference-informed Graph Network For Solving Steady-state Incompressible Flows on Block-structured Grids, by Yiye Zou et al.
Finite-difference-informed graph network for solving steady-state incompressible flows on block-structured gridsby Yiye Zou, Tianyu Li,…
Summary of Scalable Differentiable Causal Discovery in the Presence Of Latent Confounders with Skeleton Posterior (extended Version), by Pingchuan Ma et al.
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)by…
Summary of Large Language Model Enhanced Clustering For News Event Detection, by Adane Nega Tarekegn
Large Language Model Enhanced Clustering for News Event Detectionby Adane Nega TarekegnFirst submitted to arxiv…
Summary of Large Reasoning Models For 3d Floorplanning in Eda: Learning From Imperfections, by Fin Amin et al.
Large Reasoning Models for 3D Floorplanning in EDA: Learning from Imperfectionsby Fin Amin, Nirjhor Rouf,…
Summary of Grad-instructor: Universal Backpropagation with Explainable Evaluation Neural Networks For Meta-learning and Automl, by Ryohei Ino
Grad-Instructor: Universal Backpropagation with Explainable Evaluation Neural Networks for Meta-learning and AutoMLby Ryohei InoFirst submitted…
Summary of Privacy-preserving Heterogeneous Federated Learning For Sensitive Healthcare Data, by Yukai Xu et al.
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Databy Yukai Xu, Jingfeng Zhang, Yujie GuFirst submitted…
Summary of Mda: An Interpretable and Scalable Multi-modal Fusion Under Missing Modalities and Intrinsic Noise Conditions, by Lin Fan et al.
MDA: An Interpretable and Scalable Multi-Modal Fusion under Missing Modalities and Intrinsic Noise Conditionsby Lin…
Summary of Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions, by Xiao Yang et al.
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directionsby Xiao Yang, Gaolei Li, Jianhua LiFirst…
Summary of Bypass Back-propagation: Optimization-based Structural Pruning For Large Language Models Via Policy Gradient, by Yuan Gao et al.
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradientby Yuan Gao, Zujing…