Granmo, Ole-Christoffer

9 publications

AAAI 2025 Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi

IJCAI 2023 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

AAAI 2023 Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao

IJCAI 2022 Robust Interpretable Text Classification Against Spurious Correlations Using AND-Rules with Negation Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin

AAAI 2022 Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin

NeurIPS 2022 Tsetlin Machine for Solving Contextual Bandit Problems Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo

AAAI 2021 Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin

ICML 2021 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 K. Yadav

JMLR 2019 Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems Sondre Glimsdal, Ole-Christoffer Granmo