Issued Patents All Time
Showing 1–6 of 6 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12423599 | Efficient and accurate regional explanation technique for NLP models | Tayler Hetherington, Karoon Rashedi Nia, Yasha Pushak, Sanjay Jinturkar, Nipun Agarwal | 2025-09-23 |
| 12380357 | Efficient and scalable computation of global feature importance explanations | Karoon Rashedi Nia, Tayler Hetherington, Sanjay Jinturkar, Nipun Agarwal | 2025-08-05 |
| 12265889 | Systematic approach for explaining machine learning predictions | Karoon Rashedi Nia, Tayler Hetherington, Sanjay Jinturkar, Nipun Agarwal | 2025-04-01 |
| 11720751 | Global, model-agnostic machine learning explanation technique for textual data | Tayler Hetherington, Karoon Rashedi Nia, Yasha Pushak, Sanjay Jinturkar, Nipun Agarwal | 2023-08-08 |
| 11687540 | Fast, approximate conditional distribution sampling | Yasha Pushak, Tayler Hetherington, Karoon Rashedi Nia, Sanjay Jinturkar, Nipun Agarwal | 2023-06-27 |
| 11531915 | Method for generating rulesets using tree-based models for black-box machine learning explainability | Tayler Hetherington, Onur Kocberber, Karoon Rashedi Nia, Sam Idicula, Nipun Agarwal | 2022-12-20 |