Topological Approaches to Deep Learning

2 November 2018

Papers citing "Topological Approaches to Deep Learning"

9 / 9 papers shown

Title
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 29 1 0 20 Oct 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 31 9 0 22 Jan 2024
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine Learning V. Usatyuk Sergey Egorov Denis Sapozhnikov 29 3 0 28 Jul 2023
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 18 6 0 06 Jun 2023
Zeroth-Order Topological Insights into Iterative Magnitude Pruning Aishwarya H. Balwani J. Krzyston 24 2 0 14 Jun 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 19 11 0 19 Apr 2022
Activation Landscapes as a Topological Summary of Neural Network Performance Matthew Wheeler Jose J. Bouza Peter Bubenik 26 19 0 19 Oct 2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting Yuzhou Chen I. Segovia-Dominguez Yulia R. Gel AI4TS 16 137 0 10 May 2021
Linear discriminant initialization for feed-forward neural networks Marissa Masden D. Sinha FedML 24 3 0 24 Jul 2020