Summary of Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study, by Nikolai Merkel et al.
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Studyby Nikolai Merkel, Pierre…
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 Geometry Aware Meta-learning Neural Network For Joint Phase and Precoder Optimization in Ris, by Dahlia Devapriya and Sheetal Kalyani
Geometry Aware Meta-Learning Neural Network for Joint Phase and Precoder Optimization in RISby Dahlia Devapriya,…
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…
Summary of Safety-oriented Pruning and Interpretation Of Reinforcement Learning Policies, by Dennis Gross and Helge Spieker
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policiesby Dennis Gross, Helge SpiekerFirst submitted to arxiv…
Summary of Mobility-gcn: a Human Mobility-based Graph Convolutional Network For Tracking and Analyzing the Spatial Dynamics Of the Synthetic Opioid Crisis in the Usa, 2013-2020, by Zhiyue Xia et al.
Mobility-GCN: a human mobility-based graph convolutional network for tracking and analyzing the spatial dynamics of…
Summary of Convergence Of Sharpness-aware Minimization Algorithms Using Increasing Batch Size and Decaying Learning Rate, by Hinata Harada and Hideaki Iiduka
Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rateby Hinata Harada,…
Summary of Spatiotemporal Covariance Neural Networks, by Andrea Cavallo et al.
Spatiotemporal Covariance Neural Networksby Andrea Cavallo, Mohammad Sabbaqi, Elvin IsufiFirst submitted to arxiv on: 16…
Summary of Steinmetz Neural Networks For Complex-valued Data, by Shyam Venkatasubramanian et al.
Steinmetz Neural Networks for Complex-Valued Databy Shyam Venkatasubramanian, Ali Pezeshki, Vahid TarokhFirst submitted to arxiv…
Summary of Kan V.s. Mlp For Offline Reinforcement Learning, by Haihong Guo et al.
KAN v.s. MLP for Offline Reinforcement Learningby Haihong Guo, Fengxin Li, Jiao Li, Hongyan LiuFirst…