Cyclostationary Random Number Sequences for the Tsetlin Machine. - Svein Anders Tunheim; Rohan Kumar Yadav; Lei Jiao 001; Rishad A. Shafik; Ole-Christoffer Granmo (IEA/AIE, 2022)

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 001; Rupsa Saha; Jivitesh Sharma; Svein Anders Tunheim; Xuan Zhang 007 (IJCAI, 2023)

Contracting Tsetlin Machine with Absorbing Automata. - Bimal Bhattarai; Ole-Christoffer Granmo; Lei Jiao 001; Per-Arne Andersen; Svein Anders Tunheim; Rishad A. Shafik; Alex Yakovlev (CoRR, 2023)

Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification. - Svein Anders Tunheim; Lei Jiao 001; Rishad A. Shafik; Alex Yakovlev; Ole-Christoffer Granmo (Microprocess. Microsystems, 2023)

An All-digital 65-nm Tsetlin Machine Image Classification Accelerator with 8.6 nJ per MNIST Frame at 60.3k Frames per Second. - Svein Anders Tunheim; Yujin Zheng; Lei Jiao 001; Rishad A. Shafik; Alex Yakovlev; Ole-Christoffer Granmo (CoRR, 2025)

Tsetlin Machine-Based Image Classification FPGA Accelerator With On-Device Training. - Svein Anders Tunheim; Lei Jiao 001; Rishad A. Shafik; Alex Yakovlev; Ole-Christoffer Granmo (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)