A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning. - Ole-Christoffer Granmo; Sondre Glimsdal (IEA/AIE (2), 2011)

A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. - Ole-Christoffer Granmo; Jaziar Radianti; Morten Goodwin Olsen; Julie Dugdale; Parvaneh Sarshar; Sondre Glimsdal; Jose J. Gonzalez (IEA/AIE, 2013)

Ant Colony Optimisation for Planning Safe Escape Routes. - Morten Goodwin Olsen; Ole-Christoffer Granmo; Jaziar Radianti; Parvaneh Sarshar; Sondre Glimsdal (IEA/AIE, 2013)

Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation. - Sondre Glimsdal; Ole-Christoffer Granmo (MAICS, 2013)

Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game. - Ole-Christoffer Granmo; Sondre Glimsdal (Appl. Intell., 2013)

A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems. - Sondre Glimsdal; Ole-Christoffer Granmo (ICMLA, 2014)

Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning. - Sondre Glimsdal; Ole-Christoffer Granmo (ICMLA, 2015)

AIs for Dominion Using Monte-Carlo Tree Search. - Robin Tollisen; Jon Vegard Jansen; Morten Goodwin; Sondre Glimsdal (IEA/AIE, 2015)

Thompson Sampling Guided Stochastic Searching on the Line for Adversarial Learning. - Sondre Glimsdal; Ole-Christoffer Granmo (AIAI, 2015)

An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem. - Sondre Glimsdal; Ole-Christoffer Granmo (CoRR, 2017)

A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem. - Sondre Glimsdal; Ole-Christoffer Granmo (Appl. Intell., 2018)

Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. - Jivitesh Sharma; Bernt Viggo Matheussen; Sondre Glimsdal; Ole-Christoffer Granmo (ICMLA, 2019)

Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation. - Sondre Glimsdal; Ole-Christoffer Granmo (IEA/AIE, 2019)

The Convolutional Tsetlin Machine. - Ole-Christoffer Granmo; Sondre Glimsdal; Lei Jiao 001; Morten Goodwin; Christian W. Omlin; Geir Thore Berge (CoRR, 2019)

Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems. - Sondre Glimsdal; Ole-Christoffer Granmo (J. Mach. Learn. Res., 2019)

Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. - Saeed Rahimi Gorji; Ole-Christoffer Granmo; Sondre Glimsdal; Jonathan Edwards; Morten Goodwin (IEA/AIE, 2020)

Coalesced Multi-Output Tsetlin Machines with Clause Sharing. - Sondre Glimsdal; Ole-Christoffer Granmo (CoRR, 2021)

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)

The Sparse Tsetlin Machine: Sparse Representation with Active Literals. - Sebastian Østby; Tobias M. Brambo; Sondre Glimsdal (CoRR, 2024)

Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks. - Sondre Glimsdal; Sebastian Østby; Tobias M. Brambo; Eirik M. Vinje (CoRR, 2024)