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Irina Higgins
62
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Format
Online (62)
Mediatypes
Articles (Online) (15)
OpenAccess-fulltext (47)
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1
Symmetry-Based Representations for Artificial and Biologica..:
Higgins, Irina
;
Racanière, Sébastien
;
Rezende, Danilo
Frontiers in Computational Neuroscience. 16 (2022) - p. , 2022
Link:
https://doi.org/10.3389/..
?
2
Generalizing universal function approximators:
Higgins, Irina
Nature Machine Intelligence. 3 (2021) 3 - p. 192-193 , 2021
Link:
https://doi.org/10.1038/..
?
3
Unsupervised deep learning identifies semantic disentanglem..:
Higgins, Irina
;
Chang, Le
;
Langston, Victoria
...
Nature Communications. 12 (2021) 1 - p. , 2021
Link:
https://doi.org/10.1038/..
?
4
Unsupervised learning of temporal features for word categor..:
Higgins, Irina
;
Stringer, Simon
;
Schnupp, Jan
.
PLOS ONE. 12 (2017) 8 - p. e0180174 , 2017
Link:
https://doi.org/10.1371/..
?
5
Harmonic Training and the Formation of Pitch Representation..:
Ahmad, Nasir
;
Higgins, Irina
;
Walker, Kerry M. M.
.
Frontiers in Computational Neuroscience. 10 (2016) - p. , 2016
Link:
https://doi.org/10.3389/..
?
6
Learning view invariant recognition with partially occluded..:
Tromans, James M.
;
Higgins, Irina
;
Stringer, Simon M.
Frontiers in Computational Neuroscience. 6 (2012) - p. , 2012
Link:
https://doi.org/10.3389/..
?
7
Symmetry-Based Representations for Artificial and Biologica..:
Irina Higgins
;
Sébastien Racanière
;
Danilo Rezende
https://www.frontiersin.org/articles/10.3389/fncom.2022.836498/full. , 2022
Link:
https://doi.org/10.3389/..
?
8
Unsupervised deep learning identifies semantic disentanglem..:
Irina Higgins
;
Le Chang
;
Victoria Langston
...
https://doi.org/10.1038/s41467-021-26751-5. , 2021
Link:
https://doi.org/10.1038/..
?
9
Unsupervised learning of temporal features for word categor..:
Irina Higgins
;
Simon Stringer
;
Jan Schnupp
http://europepmc.org/articles/PMC5552261?pdf=render. , 2017
Link:
https://doi.org/10.1371/..
?
10
Source Data:
Irina Higgins (11418668)
https://figshare.com/articles/dataset/Source_Data_xlsx/16602314. , 2021
Link:
https://doi.org/10.6084/..
?
11
SUFR disentangling:
Irina Higgins (11418668)
https://figshare.com/articles/media/SUFR_disentangling/16701829. , 2021
Link:
https://doi.org/10.6084/..
?
12
Sample questionnaire forms for the psychophysics experiment:
Irina Higgins (11418668)
https://figshare.com/articles/online_resource/Sample_questionnaire_forms_for_the_psychophysics_experiments/16701835. , 2021
Link:
https://doi.org/10.6084/..
?
13
Human data:
Irina Higgins (11418668)
https://figshare.com/articles/dataset/Human_data/16701838. , 2021
Link:
https://doi.org/10.6084/..
?
14
46 features for face description:
Irina Higgins (11418668)
https://figshare.com/articles/dataset/46_features_for_face_description_xlsx/16602311. , 2021
Link:
https://doi.org/10.6084/..
?
15
Model data:
Irina Higgins (11418668)
https://figshare.com/articles/dataset/model_data_zip/16602320. , 2021
Link:
https://doi.org/10.6084/..
1-15