Michael Beukman

According to our database, Michael Beukman authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

JaxUED: A simple and useable UED library in Jax.

Samuel Coward, Michael Beukman, Jakob N. Foerster

CoRR, 2024

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning.

Michael Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew T. Jackson, Samuel Coward, Jakob N. Foerster

CoRR, 2024

Refining Minimax Regret for Unsupervised Environment Design.

Michael Beukman, Samuel Coward, Michael Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob N. Foerster

CoRR, 2024

2023

Hierarchically Composing Level Generators for the Creation of Complex Structures.

Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James

CoRR, 2023

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies.

Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition.

Michael Beukman, Manuel Fokam

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Augmentative Topology Agents For Open-Ended Learning.

Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Hierarchical WaveFunction Collapse.

Michael Beukman, Branden Ingram, Ireton Liu, Benjamin Rosman

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

2022

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages.

Idris Abdulmumin, Michael Beukman, Jesujoba O. Alabi, Chris Emezue, Everlyn Asiko, Tosin P. Adewumi, Shamsuddeen Hassan Muhammad, Mofetoluwa Adeyemi, Oreen Yousuf, Sahib Singh, Tajuddeen Rabiu Gwadabe

CoRR, 2022

Adaptive Online Value Function Approximation with Wavelets.

Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris

CoRR, 2022

Towards Objective Metrics for Procedurally Generated Video Game Levels.

Michael Beukman, Steven James, Christopher W. Cleghorn

CoRR, 2022

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages.

Idris Abdulmumin, Michael Beukman, Jesujoba O. Alabi, Chris Chinenye Emezue, Everlyn Chimoto, Tosin P. Adewumi, Shamsuddeen Hassan Muhammad, Mofetoluwa Adeyemi, Oreen Yousuf, Sahib Singh, Tajuddeen Gwadabe

Proceedings of the Seventh Conference on Machine Translation, 2022

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation.

David Ifeoluwa Adelani, Jesujoba O. Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ajibade, Tunde Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing K. Sibanda, Andiswa Bukula, Sam Manthalu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Procedural content generation using neuroevolution and novelty search for diverse video game levels.

Michael Beukman, Christopher W. Cleghorn, Steven James

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition.

David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia V. Taylor, Fatoumata Ouoba Kabore, Chris Chinenye Emezue, Aremu Anuoluwapo, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022