Summary of Solarcast-ml: Per Node Graphcast Extension For Solar Energy Production, by Cale Colony et al.
Solarcast-ML: Per Node GraphCast Extension for Solar Energy Productionby Cale Colony, Razan AndiganiFirst submitted to…
Summary of When Are Bias-free Relu Networks Effectively Linear Networks?, by Yedi Zhang et al.
When Are Bias-Free ReLU Networks Effectively Linear Networks?by Yedi Zhang, Andrew Saxe, Peter E. LathamFirst…
Summary of Deep Neural Networks with Relu, Leaky Relu, and Softplus Activation Provably Overcome the Curse Of Dimensionality For Space-time Solutions Of Semilinear Partial Differential Equations, by Julia Ackermann et al.
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of…
Summary of Hadamard Representations: Augmenting Hyperbolic Tangents in Rl, by Jacob E. Kooi et al.
Hadamard Representations: Augmenting Hyperbolic Tangents in RLby Jacob E. Kooi, Mark Hoogendoorn, Vincent François-LavetFirst submitted…
Summary of Separation Power Of Equivariant Neural Networks, by Marco Pacini et al.
Separation Power of Equivariant Neural Networksby Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele SantinFirst submitted…
Summary of Stable Minima Cannot Overfit in Univariate Relu Networks: Generalization by Large Step Sizes, By Dan Qiao et al.
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizesby Dan Qiao,…
Summary of Symmetric Matrix Completion with Relu Sampling, by Huikang Liu et al.
Symmetric Matrix Completion with ReLU Samplingby Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura…
Summary of Deep Neural Networks Are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation, by Hao Liu et al.
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimationby…
Summary of R-conv: An Analytical Approach For Efficient Data Reconstruction Via Convolutional Gradients, by Tamer Ahmed Eltaras et al.
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradientsby Tamer Ahmed Eltaras, Qutaibah…
Summary of Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize, by Tianren Zhang et al.
Feature contamination: Neural networks learn uncorrelated features and fail to generalizeby Tianren Zhang, Chujie Zhao,…