ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.07833
  4. Cited By
Shaping the learning landscape in neural networks around wide flat
  minima

Shaping the learning landscape in neural networks around wide flat minima

20 May 2019
Carlo Baldassi
Fabrizio Pittorino
R. Zecchina
    MLT
ArXivPDFHTML

Papers citing "Shaping the learning landscape in neural networks around wide flat minima"

18 / 18 papers shown
Title
Entropy-Guided Sampling of Flat Modes in Discrete Spaces
Entropy-Guided Sampling of Flat Modes in Discrete Spaces
Pinaki Mohanty
Riddhiman Bhattacharya
Ruqi Zhang
155
0
0
05 May 2025
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
Sunwoo Lee
112
0
0
18 Mar 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
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Daniel Paulin
P. Whalley
Neil K. Chada
B. Leimkuhler
BDL
49
4
0
14 Oct 2024
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
B. Annesi
Enrico M. Malatesta
Francesco Zamponi
43
2
0
09 Oct 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
0
24 Sep 2024
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
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
T. Getu
Georges Kaddoum
M. Bennis
40
1
0
13 Sep 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
Lingfeng Shen
Weiting Tan
Boyuan Zheng
Daniel Khashabi
VLM
39
6
0
18 May 2023
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
Mode connectivity in the loss landscape of parameterized quantum
  circuits
Mode connectivity in the loss landscape of parameterized quantum circuits
Kathleen E. Hamilton
E. Lynn
R. Pooser
25
3
0
09 Nov 2021
The Role of Permutation Invariance in Linear Mode Connectivity of Neural
  Networks
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
R. Entezari
Hanie Sedghi
O. Saukh
Behnam Neyshabur
MoMe
37
216
0
12 Oct 2021
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
Entropic alternatives to initialization
Entropic alternatives to initialization
Daniele Musso
37
1
0
16 Jul 2021
Unveiling the structure of wide flat minima in neural networks
Unveiling the structure of wide flat minima in neural networks
Carlo Baldassi
Clarissa Lauditi
Enrico M. Malatesta
Gabriele Perugini
R. Zecchina
19
32
0
02 Jul 2021
A spin-glass model for the loss surfaces of generative adversarial
  networks
A spin-glass model for the loss surfaces of generative adversarial networks
Nicholas P. Baskerville
J. Keating
F. Mezzadri
J. Najnudel
GAN
30
12
0
07 Jan 2021
Neural network wave functions and the sign problem
Neural network wave functions and the sign problem
A. Szabó
C. Castelnovo
19
69
0
11 Feb 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
1