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2008.01772
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Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics
4 August 2020
Justin Sahs
Ryan Pyle
Aneel Damaraju
J. O. Caro
Onur Tavaslioglu
Andy Lu
Ankit B. Patel
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Papers citing
"Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics"
7 / 7 papers shown
Title
On the Geometry of Deep Learning
Randall Balestriero
Ahmed Imtiaz Humayun
Richard G. Baraniuk
AI4CE
39
1
0
09 Aug 2024
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Simone Appella
S. Arridge
Chris Budd
Teo Deveney
L. Kreusser
33
0
0
02 Jul 2024
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Zhengqing Wu
Berfin Simsek
Francois Ged
ODL
40
0
0
08 Feb 2024
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran
Gal Vardi
Jason D. Lee
MLT
51
23
0
18 May 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
A. Shevchenko
Vyacheslav Kungurtsev
Marco Mondelli
MLT
36
13
0
03 Nov 2021
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
99
77
0
08 Dec 2020
Inverse Problems, Deep Learning, and Symmetry Breaking
Kshitij Tayal
Chieh-Hsin Lai
Vipin Kumar
Ju Sun
AI4CE
72
15
0
20 Mar 2020
1