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Optimization and Generalization of Shallow Neural Networks with
  Quadratic Activation Functions

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions

27 June 2020
Stefano Sarao Mannelli
Eric Vanden-Eijnden
Lenka Zdeborová
    AI4CE
ArXivPDFHTML

Papers citing "Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions"

13 / 13 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
Geometry and Optimization of Shallow Polynomial Networks
Geometry and Optimization of Shallow Polynomial Networks
Yossi Arjevani
Joan Bruna
Joe Kileel
Elzbieta Polak
Matthew Trager
36
1
0
10 Jan 2025
Grokking as a First Order Phase Transition in Two Layer Networks
Grokking as a First Order Phase Transition in Two Layer Networks
Noa Rubin
Inbar Seroussi
Zohar Ringel
37
16
0
05 Oct 2023
Embeddings between Barron spaces with higher order activation functions
Embeddings between Barron spaces with higher order activation functions
T. J. Heeringa
L. Spek
Felix L. Schwenninger
C. Brune
42
3
0
25 May 2023
Neural Networks Efficiently Learn Low-Dimensional Representations with
  SGD
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini
Sejun Park
M. Girotti
Ioannis Mitliagkas
Murat A. Erdogdu
MLT
324
48
0
29 Sep 2022
On Feature Learning in Neural Networks with Global Convergence
  Guarantees
On Feature Learning in Neural Networks with Global Convergence Guarantees
Zhengdao Chen
Eric Vanden-Eijnden
Joan Bruna
MLT
36
13
0
22 Apr 2022
The Spectral Bias of Polynomial Neural Networks
The Spectral Bias of Polynomial Neural Networks
Moulik Choraria
L. Dadi
Grigorios G. Chrysos
Julien Mairal
V. Cevher
29
18
0
27 Feb 2022
Separation of Scales and a Thermodynamic Description of Feature Learning
  in Some CNNs
Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
Inbar Seroussi
Gadi Naveh
Zohar Ringel
37
51
0
31 Dec 2021
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural
  Networks: A Tale of Symmetry II
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
Yossi Arjevani
M. Field
28
18
0
21 Jul 2021
The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations,
  and Anomalous Diffusion
The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations, and Anomalous Diffusion
D. Kunin
Javier Sagastuy-Breña
Lauren Gillespie
Eshed Margalit
Hidenori Tanaka
Surya Ganguli
Daniel L. K. Yamins
36
16
0
19 Jul 2021
A self consistent theory of Gaussian Processes captures feature learning
  effects in finite CNNs
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
Gadi Naveh
Zohar Ringel
SSL
MLT
36
31
0
08 Jun 2021
Landscape analysis for shallow neural networks: complete classification
  of critical points for affine target functions
Landscape analysis for shallow neural networks: complete classification of critical points for affine target functions
Patrick Cheridito
Arnulf Jentzen
Florian Rossmannek
29
10
0
19 Mar 2021
Towards a Mathematical Understanding of Neural Network-Based Machine
  Learning: what we know and what we don't
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't
E. Weinan
Chao Ma
Stephan Wojtowytsch
Lei Wu
AI4CE
29
133
0
22 Sep 2020
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