Summary of Atgcn: a Graph Convolutional Network For Ataxic Gait Detection, by Karan Bania et al.
AtGCN: A Graph Convolutional Network For Ataxic Gait Detectionby Karan Bania, Tanmay VerlekarFirst submitted to…
Summary of Graph Based Traffic Analysis and Delay Prediction, by Gabriele Borg and Charlie Abela
Graph Based Traffic Analysis and Delay Predictionby Gabriele Borg, Charlie AbelaFirst submitted to arxiv on:…
Summary of Spatial Shortcuts in Graph Neural Controlled Differential Equations, by Michael Detzel et al.
Spatial Shortcuts in Graph Neural Controlled Differential Equationsby Michael Detzel, Gabriel Nobis, Jackie Ma, Wojciech…
Summary of Predicting Liquidity Coverage Ratio with Gated Recurrent Units: a Deep Learning Model For Risk Management, by Zhen Xu et al.
Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Managementby…
Summary of Improving Insurance Catastrophic Data with Resampling and Gan Methods, by Norbert Dzadz and Maciej Romaniuk
Improving Insurance Catastrophic Data with Resampling and GAN Methodsby Norbert Dzadz, Maciej RomaniukFirst submitted to…
Summary of Ltpnet Integration Of Deep Learning and Environmental Decision Support Systems For Renewable Energy Demand Forecasting, by Te Li and Mengze Zhang and Yan Zhou
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecastingby…
Summary of Deep Learning For Weather Forecasting: a Cnn-lstm Hybrid Model For Predicting Historical Temperature Data, by Yuhao Gong et al.
Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Databy Yuhao…
Summary of Arrivalnet: Predicting City-wide Bus/tram Arrival Time with Two-dimensional Temporal Variation Modeling, by Zirui Li and Patrick Wolf and Meng Wang
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with Two-dimensional Temporal Variation Modelingby Zirui Li, Patrick Wolf,…
Summary of Beyond Labels: a Self-supervised Framework with Masked Autoencoders and Random Cropping For Breast Cancer Subtype Classification, by Annalisa Chiocchetti et al.
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype…
Summary of Enhancing Jepas with Spatial Conditioning: Robust and Efficient Representation Learning, by Etai Littwin et al.
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learningby Etai Littwin, Vimal Thilak, Anand…