Research group developing theory and applied methods for finding and inducing interpretable algorithms in deep learning models.
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Received $737k from 1 funder
Checked 25 Oct 2026
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Funded by
- Coefficient Giving$737k
All grants
1 grant totalling $737k, newest first.
2024 1 grant · $737k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Sep 2024 | Coefficient Giving | $737k | Interpretability Work source |