JuLib | Articles & more - {"Transparent Deep Learning with Renormalized Flows"}

1

Poster

Information transfer between correlation functions in neural networks

Fischer, Kirsten
2023

“...Transparent Deep Learning with Renormalized Flows...”

2

Journal Article

Statistical temporal pattern extraction by neuronal architecture

Nestler, Sandra
2023

Physical review research, 5 (2023) 3, S. 033177

“...Transparent Deep Learning with Renormalized Flows...”
Get full text OpenAccess

3

Talk (non-conference)

Neural networks learning structure in temporal signals

Nestler, Sandra
2023

“...Transparent Deep Learning with Renormalized Flows...”

4

Poster

Neuronal extraction of statistical patterns embedded in time series

Nestler, Sandra
2023

“...Transparent Deep Learning with Renormalized Flows...”

5

Preprint

Optimal signal propagation in ResNets through residual scaling

Fischer, Kirsten
2023

“...Transparent Deep Learning with Renormalized Flows...”
Get full text OpenAccess

6

Poster

Optimal signal propagation in ResNets through residual scaling

Fischer, Kirsten
2023

“...Transparent Deep Learning with Renormalized Flows...”

7

Talk (non-conference)

Statistical Mechanics of Neural Networks

Fischer, Kirsten
2023

“...Transparent Deep Learning with Renormalized Flows...”

8

Poster

Residual scaling enables optimal signal propagation in ResNets

Fischer, Kirsten
2023

“...Transparent Deep Learning with Renormalized Flows...”

9

Poster

Linking Network and Neuron Level Correlations via Renormalized Field Theory

Dick, Michael
2023

“...Transparent Deep Learning with Renormalized Flows...”
OpenAccess

10

Poster

Nonlinear dimensionality reduction with normalizing flows for analysis of electrophysiological recordings

Bouss, Peter
2023

“...Transparent Deep Learning with Renormalized Flows...”
OpenAccess

11

Talk (non-conference)

A statistical perspective on learning of time series in neural networks

Nestler, Sandra
2023

“...Transparent Deep Learning with Renormalized Flows...”

12

Poster

Unfolding recurrence by Green's functions for optimized reservoir computing

Nestler, Sandra
2022

“...Transparent Deep Learning with Renormalized Flows...”
OpenAccess

13

Journal Article

Unified field theoretical approach to deep and recurrent neuronal networks

Segadlo, Kai
2022

Journal of statistical mechanics: theory and experiment, 2022 (2022) 10, S. 103401

“...Transparent Deep Learning with Renormalized Flows...”
OpenAccess

14

Talk (non-conference)

Tutorial on field theory of neuronal networks

Fischer, Kirsten
2022

“...Transparent Deep Learning with Renormalized Flows...”

15

Poster

Statistical decomposition of feed-forward neural networks: Transfer of information between correlation functions

Fischer, Kirsten
2022

“...Transparent Deep Learning with Renormalized Flows...”

16

Journal Article

Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

Physical review research, 4 (2022) 4, S. 043143

“...Transparent Deep Learning with Renormalized Flows...”
OpenAccess OpenAccess

17

Preprint

Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

“...Transparent Deep Learning with Renormalized Flows...”
Get full text OpenAccess

18

Talk (non-conference)

Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

“...Transparent Deep Learning with Renormalized Flows...”

19

Conference / Event

Information processing through correlated and coordinated responses

Dahmen, David
2022

“...Transparent Deep Learning with Renormalized Flows...”

20

Poster

Statistical decomposition of neural networks: Information transfer between correlation functions

Fischer, Kirsten
2022

“...Transparent Deep Learning with Renormalized Flows...”

Narrow Search Results