Ole-Christoffer Granmo
12 papers · 2019–2025 · 8 venues · across top CS/AI venues
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tsetlin machine
(8)
propositional logic
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text classification
(3)
pattern recognition
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natural language processing
(2)
interpretable machine learning
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interpretable learning
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thompson sampling
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logic-based learning
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sentiment classification
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Papers
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
AAAI 2025
Tsetlin Machine Embedding: Representing Words Using Logical Expressions
EACL 2024
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
IJCAI 2023
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine
AAAI 2023
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
IJCAI 2022
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
AAAI 2022
Tsetlin Machine for Solving Contextual Bandit Problems
NeurIPS 2022
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
EMNLP 2021
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis
AAAI 2021
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
ICML 2021
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network
Interspeech 2020
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems
JMLR 2019