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On the Existence of Global Minima and Convergence Analyses for Gradient Descent Methods in the Training of Deep Neural Networks
Arnulf Jentzen, Adrian Riekert
2022-07-06
41548
4262
Pages:141-246
Open-access
Spectral Neural Networks: Approximation Theory and Optimization Landscape
Chenghui Li, Rishi Sonthalia, Nicolás García Trillos
2026-01-06
123
206
Beyond the Quadratic Approximation: The Multiscale Structure of Neural Network Loss Landscapes
Chao Ma, Daniel Kunin, Lei Wu, Lexing Ying
2022-09-22
39410
4502
Pages:247-267
Open-access
A Note on Continuous-Time Online Learning
Lexing Ying
2025-03-12
11128
1041
Pages:1-10
Open-access
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization with Non-Isolated Local Minima
Taehee Ko, Xiantao Li
2023-06-06
26266
2620
Pages:138-160
Open-access
Soft-Constrained Distance Preserving t-SNE
Joseph Balderas, Li Wang, Andrzej Korzeniowski, Ren-Cang Li
2025-12-10
247
80
Convergence of Stochastic Gradient Descent under a Local Łojasiewicz Condition for Deep Neural Networks
Jing An, Jianfeng Lu
2025-06-03
8565
936
Pages:89-107
Open-access
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow
Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger
2025-03-12
11108
1232
Pages:48-88
Open-access
Approximation Results for Gradient Flow Trained Neural Networks
Gerrit Welper
2024-06-27
25201
2568
Pages:107-175
Open-access
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold
Junda Sheng, Thomas Strohmer
2024-03-21
25185
2951
Pages:64-106
Open-access
RNN-Attention Based Deep Learning for Solving Inverse Boundary Problems in Nonlinear Marshak Waves
Di Zhao, Weiming Li, Wengu Chen, Peng Song, Han Wang
2023-06-06
32949
4209
Pages:83-107
Open-access
The Cost-Accuracy Trade-Off in Operator Learning with Neural Networks
Maarten V. de Hoop, Daniel Zhengyu Huang, Elizabeth Qian, Andrew M. Stuart
2022-09-22
40641
4304
Pages:299-341
Open-access
Embedding Principle: A Hierarchical Structure of Loss Landscape of Deep Neural Networks
Yaoyu Zhang, Yuqing Li, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu
2024-03-21
80496
4499
Pages:60-113
Open-access
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