Summary of A Novel Representation Of Periodic Pattern and Its Application to Untrained Anomaly Detection, by Peng Ye et al.
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detectionby Peng Ye,…
Summary of Shaking Up Vlms: Comparing Transformers and Structured State Space Models For Vision & Language Modeling, by Georgios Pantazopoulos et al.
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modelingby…
Summary of Sequential Posterior Sampling with Diffusion Models, by Tristan S.w. Stevens et al.
Sequential Posterior Sampling with Diffusion Modelsby Tristan S.W. Stevens, OisÃn Nolan, Jean-Luc Robert, Ruud J.G.…
Summary of Dynamicfl: Federated Learning with Dynamic Communication Resource Allocation, by Qi Le et al.
DynamicFL: Federated Learning with Dynamic Communication Resource Allocationby Qi Le, Enmao Diao, Xinran Wang, Vahid…
Summary of Some Results on Neural Network Stability, Consistency, and Convergence: Insights Into Non-iid Data, High-dimensional Settings, and Physics-informed Neural Networks, by Ronald Katende et al.
Some Results on Neural Network Stability, Consistency, and Convergence: Insights into Non-IID Data, High-Dimensional Settings,…
Summary of Lepskii Principle For Distributed Kernel Ridge Regression, by Shao-bo Lin
Lepskii Principle for Distributed Kernel Ridge Regressionby Shao-Bo LinFirst submitted to arxiv on: 8 Sep…
Summary of A General Framework For Clustering and Distribution Matching with Bandit Feedback, by Recep Can Yavas et al.
A General Framework for Clustering and Distribution Matching with Bandit Feedbackby Recep Can Yavas, Yuqi…
Summary of From Computation to Consumption: Exploring the Compute-energy Link For Training and Testing Neural Networks For Sed Systems, by Constance Douwes et al.
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for…
Summary of Maxcutpool: Differentiable Feature-aware Maxcut For Pooling in Graph Neural Networks, by Carlo Abate et al.
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networksby Carlo Abate, Filippo Maria BianchiFirst…
Summary of Imputation Of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning, By Duc Thien Nguyen et al.
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learningby Duc…