Sondre Glimsdal

According to our database, Sondre Glimsdal authored at least 20 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks.

Sondre Glimsdal, Sebastian Østby, Tobias M. Brambo, Eirik M. Vinje

CoRR, 2024

The Sparse Tsetlin Machine: Sparse Representation with Active Literals.

Sebastian Østby, Tobias M. Brambo, Sondre Glimsdal

CoRR, 2024

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

Coalesced Multi-Output Tsetlin Machines with Clause Sharing.

Sondre Glimsdal, Ole-Christoffer Granmo

CoRR, 2021

2020

Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing.

Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

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

The Convolutional Tsetlin Machine.

Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge

CoRR, 2019

Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation.

Sondre Glimsdal, Ole-Christoffer Granmo

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms.

Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem.

Sondre Glimsdal, Ole-Christoffer Granmo

Appl. Intell., 2018

2017

An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem.

Sondre Glimsdal, Ole-Christoffer Granmo

CoRR, 2017

2015

Thompson Sampling Guided Stochastic Searching on the Line for Adversarial Learning.

Sondre Glimsdal, Ole-Christoffer Granmo

Proceedings of the Artificial Intelligence Applications and Innovations, 2015

AIs for Dominion Using Monte-Carlo Tree Search.

Robin Tollisen, Jon Vegard Jansen, Morten Goodwin, Sondre Glimsdal

Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning.

Sondre Glimsdal, Ole-Christoffer Granmo

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems.

Sondre Glimsdal, Ole-Christoffer Granmo

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

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

Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation.

Sondre Glimsdal, Ole-Christoffer Granmo

Proceedings of the 24th Midwest Artificial Intelligence and Cognitive Science Conference 2013, 2013

Ant Colony Optimisation for Planning Safe Escape Routes.

Morten Goodwin Olsen, Ole-Christoffer Granmo, Jaziar Radianti, Parvaneh Sarshar, Sondre Glimsdal

Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

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

Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2011

A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning.

Ole-Christoffer Granmo, Sondre Glimsdal

Proceedings of the Modern Approaches in Applied Intelligence, 2011