Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data. - Christian D. Blakely; Ole-Christoffer Granmo (CoRR, 2020)

Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines. - Christian D. Blakely; Ole-Christoffer Granmo (IEA/AIE (1), 2021)

Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. - Charul Giri; Ole-Christoffer Granmo; Herke van Hoof; Christian D. Blakely (IJCNN, 2022)

Generating Bayesian Network Models from Data Using Tsetlin Machines. - Christian D. Blakely (CoRR, 2023)

Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning. - Ole-Christoffer Granmo; Per-Arne Andersen; Lei Jiao 001; Xuan Zhang 007; Christian D. Blakely; Tor Oddbjørn Tveit (CoRR, 2023)

Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation. - Christian D. Blakely (CoRR, 2024)

High resolution microprice estimates from limit orderbook data using hyperdimensional vector Tsetlin Machines. - Christian D. Blakely (CoRR, 2024)

Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines. - Christian D. Blakely (CoRR, 2025)