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Grant Award View - GA28858

Quantification, optimisation, and application of deep uncertainty

Contact Details

ARC NCGP General Enquiries

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02 6287 6600

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GA ID:
GA28858
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Publish Date:
18-Dec-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
14-Mar-2019 to 31-Dec-2023
Original: 1-Jan-2019 to 31-Dec-2021
Value (AUD):
$431,709.00 (GST inclusive where applicable)
Variations:
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Quantification, optimisation, and application of deep uncertainty
Purpose:
This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interval-based adversarial training step. The project is expected to help data-driven Australian organisations and industries to better quantify and manage forecasting uncertainties. This project will provide them with significant cost savings through better decision making and more robust planning.
GO ID:
GO724
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details
Recipient Name:
Deakin University
Recipient ABN:
56 721 584 203

Grant Recipient Location
Suburb:
GEELONG
Town/City:
GEELONG
Postcode:
3220
State/Territory:
VIC
Country:
AUSTRALIA

Grant Delivery Location
State/Territory:
VIC
Postcode:
3220
Country:
AUSTRALIA

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: