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Improving Optimization for Models With Continuous Symmetry Breaking
v1v2v3 (latest)

Improving Optimization for Models With Continuous Symmetry Breaking

8 March 2018
Kushagra Pandey
Stephan Mandt
    DRL
ArXiv (abs)PDFHTML

Papers citing "Improving Optimization for Models With Continuous Symmetry Breaking"

10 / 10 papers shown
Title
Symmetry in Neural Network Parameter Spaces
Symmetry in Neural Network Parameter Spaces
Bo Zhao
Robin Walters
Rose Yu
305
6
0
16 Jun 2025
Level Set Teleportation: An Optimization Perspective
Level Set Teleportation: An Optimization Perspective
Aaron Mishkin
A. Bietti
Robert Mansel Gower
262
1
0
05 Mar 2024
Investigation into the Training Dynamics of Learned Optimizers
Investigation into the Training Dynamics of Learned OptimizersInternational Conference on Agents and Artificial Intelligence (ICAART), 2023
Jan Sobotka
Petr Simánek
Daniel Vasata
197
0
0
12 Dec 2023
Symmetries, flat minima, and the conserved quantities of gradient flow
Symmetries, flat minima, and the conserved quantities of gradient flowInternational Conference on Learning Representations (ICLR), 2022
Bo Zhao
I. Ganev
Robin Walters
Rose Yu
Nima Dehmamy
316
26
0
31 Oct 2022
Symmetry Teleportation for Accelerated Optimization
Symmetry Teleportation for Accelerated OptimizationNeural Information Processing Systems (NeurIPS), 2022
B. Zhao
Nima Dehmamy
Robin Walters
Rose Yu
ODL
373
28
0
21 May 2022
Noether's Learning Dynamics: Role of Symmetry Breaking in Neural
  Networks
Noether's Learning Dynamics: Role of Symmetry Breaking in Neural NetworksNeural Information Processing Systems (NeurIPS), 2021
Hidenori Tanaka
D. Kunin
265
39
0
06 May 2021
Regularized linear autoencoders recover the principal components,
  eventually
Regularized linear autoencoders recover the principal components, eventuallyNeural Information Processing Systems (NeurIPS), 2020
Xuchan Bao
James Lucas
Sushant Sachdeva
Roger C. Grosse
165
13
0
13 Jul 2020
Tightening Bounds for Variational Inference by Revisiting Perturbation
  Theory
Tightening Bounds for Variational Inference by Revisiting Perturbation TheoryJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2019
Kushagra Pandey
Cheng Zhang
Manfred Opper
Stephan Mandt
168
3
0
30 Sep 2019
A Quantum Field Theory of Representation Learning
A Quantum Field Theory of Representation Learning
Kushagra Pandey
Stephan Mandt
AI4CE
75
0
0
04 Jul 2019
Augmenting and Tuning Knowledge Graph Embeddings
Augmenting and Tuning Knowledge Graph EmbeddingsConference on Uncertainty in Artificial Intelligence (UAI), 2019
Kushagra Pandey
Farnood Salehi
Stephan Mandt
116
8
0
01 Jul 2019
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