Summary of Minimax Optimality Of Deep Neural Networks on Dependent Data Via Pac-bayes Bounds, by Pierre Alquier and William Kengne
Minimax optimality of deep neural networks on dependent data via PAC-Bayes boundsby Pierre Alquier, William…
Summary of Injectivity Capacity Of Relu Gates, by Mihailo Stojnic
Injectivity capacity of ReLU gatesby Mihailo StojnicFirst submitted to arxiv on: 28 Oct 2024CategoriesMain: Machine…
Summary of Plastic Learning with Deep Fourier Features, by Alex Lewandowski et al.
Plastic Learning with Deep Fourier Featuresby Alex Lewandowski, Dale Schuurmans, Marlos C. MachadoFirst submitted to…
Summary of Self-normalized Resets For Plasticity in Continual Learning, by Vivek F. Farias et al.
Self-Normalized Resets for Plasticity in Continual Learningby Vivek F. Farias, Adam D. JozefiakFirst submitted to…
Summary of Initialization Matters: on the Benign Overfitting Of Two-layer Relu Cnn with Fully Trainable Layers, by Shuning Shang et al.
Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layersby Shuning…
Summary of On Functional Dimension and Persistent Pseudodimension, by J. Elisenda Grigsby and Kathryn Lindsey
On Functional Dimension and Persistent Pseudodimensionby J. Elisenda Grigsby, Kathryn LindseyFirst submitted to arxiv on:…
Summary of A Theoretical Study Of Neural Network Expressive Power Via Manifold Topology, by Jiachen Yao et al.
A Theoretical Study of Neural Network Expressive Power via Manifold Topologyby Jiachen Yao, Mayank Goswami,…
Summary of On the Vc Dimension Of Deep Group Convolutional Neural Networks, by Anna Sepliarskaia et al.
On the VC dimension of deep group convolutional neural networksby Anna Sepliarskaia, Sophie Langer, Johannes…
Summary of Topological Obstruction to the Training Of Shallow Relu Neural Networks, by Marco Nurisso et al.
Topological obstruction to the training of shallow ReLU neural networksby Marco Nurisso, Pierrick Leroy, Francesco…
Summary of Learning to Control the Smoothness Of Graph Convolutional Network Features, by Shih-hsin Wang et al.
Learning to Control the Smoothness of Graph Convolutional Network Featuresby Shih-Hsin Wang, Justin Baker, Cory…