Summary of Gase: Graph Attention Sampling with Edges Fusion For Solving Vehicle Routing Problems, by Zhenwei Wang et al.
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problemsby Zhenwei Wang, Ruibin…
Summary of Kernel Spectral Joint Embeddings For High-dimensional Noisy Datasets Using Duo-landmark Integral Operators, by Xiucai Ding and Rong Ma
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operatorsby Xiucai Ding, Rong…
Summary of Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?, by Yang Dai et al.
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?by Yang Dai, Oubo Ma, Longfei…
Summary of Depth Prompting For Sensor-agnostic Depth Estimation, by Jin-hwi Park et al.
Depth Prompting for Sensor-Agnostic Depth Estimationby Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon JeonFirst submitted…
Summary of Information Leakage From Embedding in Large Language Models, by Zhipeng Wan et al.
Information Leakage from Embedding in Large Language Modelsby Zhipeng Wan, Anda Cheng, Yinggui Wang, Lei…
Summary of Overcoming Data and Model Heterogeneities in Decentralized Federated Learning Via Synthetic Anchors, by Chun-yin Huang and Kartik Srinivas and Xin Zhang and Xiaoxiao Li
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchorsby Chun-Yin Huang, Kartik…
Summary of Dynamic Embeddings with Task-oriented Prompting, by Allmin Balloccu et al.
Dynamic Embeddings with Task-Oriented promptingby Allmin Balloccu, Jack ZhangFirst submitted to arxiv on: 17 May…
Summary of Untargeted Adversarial Attack on Knowledge Graph Embeddings, by Tianzhe Zhao et al.
Untargeted Adversarial Attack on Knowledge Graph Embeddingsby Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin,…
Summary of Manifold-based Incomplete Multi-view Clustering Via Bi-consistency Guidance, by Huibing Wang et al.
Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidanceby Huibing Wang, Mingze Yao, Yawei Chen, Yunqiu Xu,…
Summary of Lat-pfn: a Joint Embedding Predictive Architecture For In-context Time-series Forecasting, by Stijn Verdenius et al.
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecastingby Stijn Verdenius, Andrea Zerio, Roy…