Summary of Edge-based Graph Component Pooling, by T. Snelleman et al.
Edge-Based Graph Component Poolingby T. Snelleman, B.M. Renting, H.H. Hoos, J.N. van RijnFirst submitted to…
Summary of Enhancing Semi-supervised Learning Via Representative and Diverse Sample Selection, by Qian Shao et al.
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selectionby Qian Shao, Jiangrui Kang, Qiyuan Chen,…
Summary of Detecting Underdiagnosed Medical Conditions with Deep Learning-based Opportunistic Ct Imaging, by Asad Aali et al.
Detecting Underdiagnosed Medical Conditions with Deep Learning-Based Opportunistic CT Imagingby Asad Aali, Andrew Johnston, Louis…
Summary of Soap: Improving and Stabilizing Shampoo Using Adam, by Nikhil Vyas et al.
SOAP: Improving and Stabilizing Shampoo using Adamby Nikhil Vyas, Depen Morwani, Rosie Zhao, Mujin Kwun,…
Summary of Two Stage Segmentation Of Cervical Tumors Using Pocketnet, by Awj Twam et al.
Two Stage Segmentation of Cervical Tumors using PocketNetby Awj Twam, Adrian E. Celaya, Megan C.…
Summary of Super Resolution on Global Weather Forecasts, by Lawrence Zhang et al.
Super Resolution On Global Weather Forecastsby Lawrence Zhang, Adam Yang, Rodz Andrie Amor, Bryan Zhang,…
Summary of Scale Generalisation Properties Of Extended Scale-covariant and Scale-invariant Gaussian Derivative Networks on Image Datasets with Spatial Scaling Variations, by Andrzej Perzanowski and Tony Lindeberg
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with…
Summary of Physics-informed Neural Networks with Trust-region Sequential Quadratic Programming, by Xiaoran Cheng et al.
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programmingby Xiaoran Cheng, Sen NaFirst submitted to arxiv…
Summary of Llms & Xai For Water Sustainability: Seasonal Water Quality Prediction with Lime Explainable Ai and a Rag-based Chatbot For Insights, by Biplov Paneru et al.
LLMs & XAI for Water Sustainability: Seasonal Water Quality Prediction with LIME Explainable AI and…
Summary of A Physics Informed Neural Network (pinn) Methodology For Coupled Moving Boundary Pdes, by Shivprasad Kathane and Shyamprasad Karagadde (indian Institute Of Technology Bombay Mumbai India)
A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEsby Shivprasad Kathane, Shyamprasad…