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| Funder | European Commission |
|---|---|
| Recipient Organization | Universidad de Sevilla |
| Country | Spain |
| Start Date | Feb 01, 2025 |
| End Date | Jan 31, 2028 |
| Duration | 1,094 days |
| Number of Grantees | 3 |
| Roles | Associated Partner; Coordinator |
| Data Source | European Commission |
| Grant ID | 101153039 |
The project TopologiCal ApproacH to Artificial NeurAL NetworKS (CHALKS) will focus on the study of Artificial Neural Networks architecture based on computational topology approaches and sheaf theory.
More specifically, towards Explainability, we plan to study the data representations through the different hidden layers of ANNs and track the topological complexity evolution. Then, we want to characterize the needed architecture based on the topological complexity.
National University Corporation Theuniversity of Tokyo; Mathematical Institute, Universityersity of Oxford; Universidad de Sevilla
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