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Evolutionary algorithms as an alternative to backpropagation for
  supervised training of Biophysical Neural Networks and Neural ODEs

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

17 November 2023
James Hazelden
Yuhan Helena Liu
Eli Shlizerman
E. Shea-Brown
ArXivPDFHTML

Papers citing "Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs"

5 / 5 papers shown
Title
Diffusion Tempering Improves Parameter Estimation with Probabilistic
  Integrators for Ordinary Differential Equations
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
Jonas Beck
Nathanael Bosch
Michael Deistler
Kyra L. Kadhim
Jakob H. Macke
Philipp Hennig
Philipp Berens
DiffM
24
2
0
19 Feb 2024
Evolutionary Reinforcement Learning: A Survey
Evolutionary Reinforcement Learning: A Survey
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
40
52
0
07 Mar 2023
Disentanglement with Biological Constraints: A Theory of Functional Cell
  Types
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James C. R. Whittington
W. Dorrell
Surya Ganguli
Timothy Edward John Behrens
34
39
0
30 Sep 2022
Anticorrelated Noise Injection for Improved Generalization
Anticorrelated Noise Injection for Improved Generalization
Antonio Orvieto
Hans Kersting
F. Proske
Francis R. Bach
Aurélien Lucchi
50
44
0
06 Feb 2022
Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
...
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
42
86
0
09 Sep 2021
1