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Disentanglement with Biological Constraints: A Theory of Functional Cell
  Types

Disentanglement with Biological Constraints: A Theory of Functional Cell Types

30 September 2022
James C. R. Whittington
W. Dorrell
Surya Ganguli
Timothy Edward John Behrens
ArXivPDFHTML

Papers citing "Disentanglement with Biological Constraints: A Theory of Functional Cell Types"

6 / 6 papers shown
Title
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
S. Batra
Gaurav Sukhatme
OffRL
DRL
28
1
0
09 Oct 2024
Residual Stream Analysis with Multi-Layer SAEs
Residual Stream Analysis with Multi-Layer SAEs
Tim Lawson
Lucy Farnik
Conor Houghton
Laurence Aitchison
26
3
0
06 Sep 2024
When does compositional structure yield compositional generalization? A kernel theory
When does compositional structure yield compositional generalization? A kernel theory
Samuel Lippl
Kim Stachenfeld
NAI
CoGe
73
5
0
26 May 2024
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
James Hazelden
Yuhan Helena Liu
Eli Shlizerman
E. Shea-Brown
41
2
0
17 Nov 2023
Correlative Information Maximization: A Biologically Plausible Approach
  to Supervised Deep Neural Networks without Weight Symmetry
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt
C. Pehlevan
A. Erdogan
27
1
0
07 Jun 2023
The Lie-Group Bayesian Learning Rule
The Lie-Group Bayesian Learning Rule
E. M. Kıral
Thomas Möllenhoff
Mohammad Emtiyaz Khan
BDL
15
2
0
08 Mar 2023
1