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Brandon G. Jacques
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 6
Top Topics
Textured Surfaces
Bayes Net
Convolutional Neural Network
Scale Invariance
Top Venues
CoRR
ICML
IJCNN
NeurIPS
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Publications
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Sahaj Singh Maini
,
James Mochizuki-Freeman
,
Chirag Shankar Indi
,
Brandon G. Jacques
,
Per B. Sederberg
,
Marc W. Howard
,
Zoran Tiganj
Representing Latent Dimensions Using Compressed Number Lines.
IJCNN
(2023)
Brandon G. Jacques
,
Zoran Tiganj
,
Aakash Sarkar
,
Marc W. Howard
,
Per B. Sederberg
A deep convolutional neural network that is invariant to time rescaling.
ICML
(2022)
Brandon G. Jacques
,
Zoran Tiganj
,
Aakash Sarkar
,
Marc W. Howard
,
Per B. Sederberg
SITHCon: A neural network robust to variations in input scaling on the time dimension.
CoRR
(2021)
Brandon G. Jacques
,
Zoran Tiganj
,
Marc W. Howard
,
Per B. Sederberg
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales.
CoRR
(2021)
Brandon G. Jacques
,
Zoran Tiganj
,
Marc W. Howard
,
Per B. Sederberg
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales.
NeurIPS
(2021)
Tyler A. Spears
,
Brandon G. Jacques
,
Marc W. Howard
,
Per B. Sederberg
Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world.
CoRR
(2017)