Summary of Multi-modal Graph Neural Networks For Localized Off-grid Weather Forecasting, by Qidong Yang et al.
Multi-modal graph neural networks for localized off-grid weather forecastingby Qidong Yang, Jonathan Giezendanner, Daniel Salles…
Summary of Abnormality Forecasting: Time Series Anomaly Prediction Via Future Context Modeling, by Sinong Zhao et al.
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modelingby Sinong Zhao, Wenrui Wang, Hongzuo…
Summary of Optimizing Yolov5s Object Detection Through Knowledge Distillation Algorithm, by Guanming Huang et al.
Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithmby Guanming Huang, Aoran Shen, Yuxiang Hu, Junliang…
Summary of Spatial-temporal Bearing Fault Detection Using Graph Attention Networks and Lstm, by Moirangthem Tiken Singh et al.
Spatial-Temporal Bearing Fault Detection Using Graph Attention Networks and LSTMby Moirangthem Tiken Singh, Rabinder Kumar…
Summary of Gets: Ensemble Temperature Scaling For Calibration in Graph Neural Networks, by Dingyi Zhuang et al.
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networksby Dingyi Zhuang, Chonghe Jiang, Yunhan…
Summary of Calibrated Computation-aware Gaussian Processes, by Disha Hegde et al.
Calibrated Computation-Aware Gaussian Processesby Disha Hegde, Mohamed Adil, Jon CockayneFirst submitted to arxiv on: 11…
Summary of What Is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias, by Aida Mohammadshahi et al.
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Biasby Aida Mohammadshahi, Yani…
Summary of Systematic Feature Design For Cycle Life Prediction Of Lithium-ion Batteries During Formation, by Jinwook Rhyu et al.
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formationby Jinwook Rhyu, Joachim…
Summary of Non-halting Queries: Exploiting Fixed Points in Llms, by Ghaith Hammouri et al.
Non-Halting Queries: Exploiting Fixed Points in LLMsby Ghaith Hammouri, Kemal Derya, Berk SunarFirst submitted to…
Summary of Temperature Optimization For Bayesian Deep Learning, by Kenyon Ng et al.
Temperature Optimization for Bayesian Deep Learningby Kenyon Ng, Chris van der Heide, Liam Hodgkinson, Susan…