A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamicsby Shengchao Liu, Weitao Du,…
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detectionby Chen Liu, Shibo He,…
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenanceby Zahra Kharazian,…
FedGT: Federated Node Classification with Scalable Graph Transformerby Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo…
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategyby Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu,…
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use…
Biological Valuation Map of Flanders: A Sentinel-2 Imagery Analysisby Mingshi Li, Dusan Grujicic, Steven De…
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-dronesby Beatrice Alessandra Motetti, Luca…
Deep Learning with Tabular Data: A Self-supervised Approachby Tirth Kiranbhai VyasFirst submitted to arxiv on:…
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Gamesby Yang Cai, Haipeng Luo, Chen-Yu…