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Neural Networks and Polynomial Regression. Demystifying the
  Overparametrization Phenomena

Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena

23 March 2020
Matt Emschwiller
D. Gamarnik
Eren C. Kizildag
Ilias Zadik
ArXivPDFHTML

Papers citing "Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena"

2 / 2 papers shown
Title
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
Eren C. Kızıldağ
63
0
0
07 Feb 2025
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with
  Machine Learning Surrogate Models
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Sibo Cheng
Jianhua Chen
Charitos Anastasiou
P. Angeli
Omar K. Matar
Yi-Ke Guo
Christopher C. Pain
Rossella Arcucci
AI4CE
44
60
0
07 Apr 2022
1