Discovery Projects - Grant ID: DP240102050

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP240102050

Funding Status
Active

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Funded Activity Summary

Data Complexity and Uncertainty-Resilient Deep Variational Learning. Enterprise data present increasingly significant characteristics and complexities, such as multi-aspect, heterogeneous and hierarchical features and interactions, and evolving dependencies and multi-distributions. They continue to significantly challenge the state-of-the-art probabilistic and neural learning systems with limited to insufficient capabilities and capacity. This research aims to develop a theory of flexible deep variational learning transforming new deep probabilistic models with flexible variational neural mechanisms for analytically explainable, complexity-resilient analytics of real-life data. The outcomes are expected to fill important knowledge gaps and lift critical innovation competencies in wide domains.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Projects

Funding Amount: $452,390.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Machine learning | Data engineering and data science | Modelling and simulation | Machine learning not elsewhere classified

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Data engineering and data science | Expanding Knowledge In the Information and Computing Sciences | Information Services Not Elsewhere Classified | Machine learning | Machine learning not elsewhere classified | Modelling and simulation

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