Pierre-Alexandre Murena

Orcid: 0000-0003-4586-9511

According to our database1, Pierre-Alexandre Murena authored at least 24 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Modeling needs user modeling.
Frontiers Artif. Intell., February, 2023

Cooperative Bayesian Optimization for Imperfect Agents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Teaching to Learn: Sequential Teaching of Learners with Internal States.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Measuring the Feasibility of Analogical Transfer using Complexity.
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.
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.
Proceedings of the Case-Based Reasoning Research and Development, 2022

2021
Tackling Morphological Analogies Using Deep Learning - Extended Version.
CoRR, 2021

On the Transferability of Neural Models of Morphological Analogies.
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.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Inferring Case-Based Reasoners' Knowledge to Enhance Interactivity.
Proceedings of the Case-Based Reasoning Research and Development, 2021

A Neural Approach for Detecting Morphological Analogies.
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.
CoRR, 2020

Solving Analogies on Words based on Minimal Complexity Transformation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Transfer Learning by Learning Projections from Target to Source.
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).
PhD thesis, 2018

Adaptive collaborative topic modeling for online recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Adaptive Window Strategy for Topic Modeling in Document Streams.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Information Theory based Approach to Multisource Clustering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Opening the Parallelogram: Considerations on Non-Euclidean Analogies.
Proceedings of the Case-Based Reasoning Research and Development, 2018

2017
Analysis of the influence of diversity in collaborative and multi-view clustering.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Incremental learning with the minimum description length principle.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Complexity Based Approach for Solving Hofstadter's Analogies.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

Knowledge Transfer in Artificial Learning.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

2016
Minimum Description Length Principle applied to structure adaptation for classification under concept drift.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


  Loading...