| 2024 | EACL | Tsetlin Machine Embedding: Representing Words Using Logical Expressions. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma |
| 2023 | ECIR | An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2023 | IJCAI | Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. | Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang |
| 2022 | LREC | ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2022 | LREC | Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2021 | ICAART | A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2021 | ICAART | Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2021 | ICML | Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. | Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav |