Pierre-Alexandre Murena

According to our database, Pierre-Alexandre Murena authored at least 25 papers between 2016 and 2023.

Collaborative distances:

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

2023

Modeling needs user modeling.

Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski

Frontiers Artif. Intell., February, 2023

Cooperative Bayesian Optimization for Imperfect Agents.

Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Teaching to Learn: Sequential Teaching of Learners with Internal States.

Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Measuring the Feasibility of Analogical Transfer using Complexity.

Pierre-Alexandre Murena

Proceedings of the Workshop on the Interactions between Analogical Reasoning and Machine Learning (International Joint Conference on Artificial Intelligence, 2022

Transgerring Learned Models of Morphological Analogy.

Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

A Deep Learning Approach to Solving Morphological Analogies.

Esteban Marquer, Safa Alsaidi, Amandine Decker, Pierre-Alexandre Murena, Miguel Couceiro

Proceedings of the Case-Based Reasoning Research and Development, 2022

2021

Improving Artificial Teachers by Considering How People Learn and Forget: Dataset.

Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta

Dataset, April, 2021

Tackling Morphological Analogies Using Deep Learning - Extended Version.

Safa Alsaidi, Amandine Decker, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro

CoRR, 2021

On the Transferability of Neural Models of Morphological Analogies.

Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Improving Artificial Teachers by Considering How People Learn and Forget.

Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Inferring Case-Based Reasoners' Knowledge to Enhance Interactivity.

Pierre-Alexandre Murena, Marie Al-Ghossein

Proceedings of the Case-Based Reasoning Research and Development, 2021

A Neural Approach for Detecting Morphological Analogies.

Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Teaching to Learn: Sequential Teaching of Agents with Inner States.

Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski

CoRR, 2020

Solving Analogies on Words based on Minimal Complexity Transformation.

Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Transfer Learning by Learning Projections from Target to Source.

Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2018

Minimum complexity principle for knowledge transfer in artificial learning. (Principe de minimum de complexité pour le transfert de connaissances en apprentissage artificiel).

Pierre-Alexandre Murena

PhD thesis, 2018

Adaptive collaborative topic modeling for online recommendation.

Marie Al-Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré, Antoine Cornuéjols

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Adaptive Window Strategy for Topic Modeling in Document Streams.

Pierre-Alexandre Murena, Marie Al-Ghossein, Talel Abdessalem, Antoine Cornuéjols

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Information Theory based Approach to Multisource Clustering.

Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Opening the Parallelogram: Considerations on Non-Euclidean Analogies.

Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles

Proceedings of the Case-Based Reasoning Research and Development, 2018

2017

Analysis of the influence of diversity in collaborative and multi-view clustering.

Jérémie Sublime, Basarab Matei, Pierre-Alexandre Murena

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Incremental learning with the minimum description length principle.

Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Complexity Based Approach for Solving Hofstadter's Analogies.

Pierre-Alexandre Murena, Jean-Louis Dessalles, Antoine Cornuéjols

Proceedings of ICCBR 2017 Workshops (CAW, 2017

Knowledge Transfer in Artificial Learning.

Pierre-Alexandre Murena

Proceedings of ICCBR 2017 Workshops (CAW, 2017

2016

Minimum Description Length Principle applied to structure adaptation for classification under concept drift.

Pierre-Alexandre Murena, Antoine Cornuéjols

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016