Summary of Stable and Robust Deep Learning by Hyperbolic Tangent Exponential Linear Unit (telu), By Alfredo Fernandez and Ankur Mali
Stable and Robust Deep Learning By Hyperbolic Tangent Exponential Linear Unit (TeLU)by Alfredo Fernandez, Ankur…
Summary of A Momentum Accelerated Algorithm For Relu-based Nonlinear Matrix Decomposition, by Qingsong Wang et al.
A Momentum Accelerated Algorithm for ReLU-based Nonlinear Matrix Decompositionby Qingsong Wang, Chunfeng Cui, Deren HanFirst…
Summary of Task Structure and Nonlinearity Jointly Determine Learned Representational Geometry, by Matteo Alleman et al.
Task structure and nonlinearity jointly determine learned representational geometryby Matteo Alleman, Jack W Lindsey, Stefano…
Summary of Ur4nnv: Neural Network Verification, Under-approximation Reachability Works!, by Zhen Liang et al.
UR4NNV: Neural Network Verification, Under-approximation Reachability Works!by Zhen Liang, Taoran Wu, Ran Zhao, Bai Xue,…
Summary of Extracting Formulae in Many-valued Logic From Deep Neural Networks, by Yani Zhang et al.
Extracting Formulae in Many-Valued Logic from Deep Neural Networksby Yani Zhang, Helmut BölcskeiFirst submitted to…
Summary of A Characterization Theorem For Equivariant Networks with Point-wise Activations, by Marco Pacini et al.
A Characterization Theorem for Equivariant Networks with Point-wise Activationsby Marco Pacini, Xiaowen Dong, Bruno Lepri,…
Summary of Gd Doesn’t Make the Cut: Three Ways That Non-differentiability Affects Neural Network Training, by Siddharth Krishna Kumar
GD doesn’t make the cut: Three ways that non-differentiability affects neural network trainingby Siddharth Krishna…
Summary of Universal Consistency Of Wide and Deep Relu Neural Networks and Minimax Optimal Convergence Rates For Kolmogorov-donoho Optimal Function Classes, by Hyunouk Ko and Xiaoming Huo
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for…
Summary of Nonlinear Functional Regression by Functional Deep Neural Network with Kernel Embedding, By Zhongjie Shi et al.
Nonlinear functional regression by functional deep neural network with kernel embeddingby Zhongjie Shi, Jun Fan,…
Summary of Neural Collapse For Cross-entropy Class-imbalanced Learning with Unconstrained Relu Feature Model, by Hien Dang and Tho Tran and Tan Nguyen and Nhat Ho
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Modelby Hien Dang, Tho Tran,…