CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classificationby Shubham Gupta, Nandini Saini,…
Can Probabilistic Feedback Drive User Impacts in Online Platforms?by Jessica Dai, Bailey Flanigan, Nika Haghtalab,…
Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structureby Haoyu Chu, Yuto Miyatake, Wenjun Cui,…
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecastingby Shubao Zhao, Ming…
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detectionby Hongcheng Guo, Jian Yang, Jiaheng…
Knowledge-aware Graph Transformer for Pedestrian Trajectory Predictionby Yu Liu, Yuexin Zhang, Kunming Li, Yongliang Qiao,…
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health recordsby Ghadeer O. Ghosheh, Jin Li,…
Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep Reinforcement Learning Method for Global Path Planningby Guoming…
Scalable Normalizing Flows Enable Boltzmann Generators for Macromoleculesby Joseph C. Kim, David Bloore, Karan Kapoor,…
Attention versus Contrastive Learning of Tabular Data – A Data-centric Benchmarkingby Shourav B. Rabbani, Ivan…