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Deep Networks on Toroids: Removing Symmetries Reveals the Structure of
  Flat Regions in the Landscape Geometry

Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry

7 February 2022
Fabrizio Pittorino
Antonio Ferraro
Gabriele Perugini
Christoph Feinauer
Carlo Baldassi
R. Zecchina
ArXivPDFHTML

Papers citing "Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry"

10 / 10 papers shown
Title
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE
Andrei Chernov
Oleg Novitskij
48
0
0
24 Feb 2025
High-dimensional manifold of solutions in neural networks: insights from statistical physics
High-dimensional manifold of solutions in neural networks: insights from statistical physics
Enrico M. Malatesta
51
4
0
20 Feb 2025
FlatNAS: optimizing Flatness in Neural Architecture Search for
  Out-of-Distribution Robustness
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
Matteo Gambella
Fabrizio Pittorino
Manuel Roveri
OOD
42
3
0
29 Feb 2024
Mechanistic Mode Connectivity
Mechanistic Mode Connectivity
Ekdeep Singh Lubana
Eric J. Bigelow
Robert P. Dick
David M. Krueger
Hidenori Tanaka
32
45
0
15 Nov 2022
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan
Hanie Sedghi
O. Saukh
R. Entezari
Behnam Neyshabur
MoMe
46
94
0
15 Nov 2022
Symmetries, flat minima, and the conserved quantities of gradient flow
Symmetries, flat minima, and the conserved quantities of gradient flow
Bo Zhao
I. Ganev
Robin Walters
Rose Yu
Nima Dehmamy
47
16
0
31 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
255
316
0
11 Sep 2022
Learning through atypical "phase transitions" in overparameterized
  neural networks
Learning through atypical "phase transitions" in overparameterized neural networks
Carlo Baldassi
Clarissa Lauditi
Enrico M. Malatesta
R. Pacelli
Gabriele Perugini
R. Zecchina
26
26
0
01 Oct 2021
Optimizing Mode Connectivity via Neuron Alignment
Optimizing Mode Connectivity via Neuron Alignment
N. Joseph Tatro
Pin-Yu Chen
Payel Das
Igor Melnyk
P. Sattigeri
Rongjie Lai
MoMe
223
80
0
05 Sep 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
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