Gaël Gendron

According to our database, Gaël Gendron authored at least 22 papers between 2022 and 2026.

Collaborative distances:

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

2026

Recurrence over Video Frames (RoVF) for Animal Re-identification.

Mitchell Rogers, Kobe Knowles, Gaël Gendron, Shahrokh Heidari, Isla Duporge, David Arturo Soriano Valdez, Mihailo Azhar, Padriac O'Leary, Simon Eyre, Michael Witbrock, Patrice Delmas

Int. J. Comput. Vis., March, 2026

2025

Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm.

Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gaël Gendron, Libo Zhang, Jiamou Liu, Michael J. Witbrock

CoRR, September, 2025

Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds.

Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie

CoRR, May, 2025

Analysis of Long-Term Player Action Prediction Performance Based on Causal Modelling in Rugby League.

Jiaxuan Wang, Ruigeng Wang, Shahrokh Heidari, David Arturo Soriano Valdez, Mitchell Rogers, Gaël Gendron, Yani He, Nicolas Mir, Yalu Zou, Riki Mitchel, Alfonso Gastelum Strozzi, Marcel Noronha, Michael Witbrock, Patrice Delmas

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2025

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.

Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Counterfactual Causal Inference in Natural Language with Large Language Models.

Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie

CoRR, 2024

Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks.

Gaël Gendron, Michael Witbrock, Gillian Dobbie

CoRR, 2024

Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats.

Mitchell Rogers, Kobe Knowles, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Mihailo Azhar, Padriac O'Leary, Simon Eyre, Michael Witbrock, Patrice Delmas

CoRR, 2024

Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks.

Jiaxuan Wang, Ruigeng Wang, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Gibrán Alfonso Zazueta Cruz, Stephen Hallett, Mitchell Rogers, Alexander Woodward, Alfonso Gastelum Strozzi, Riki Mitchel, Mengjie Zhang, Michael Witbrock, Patrice Delmas

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision.

Gaël Gendron

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Large Language Models Are Not Strong Abstract Reasoners.

Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning.

Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Can Large Language Models Learn Independent Causal Mechanisms?

Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael J. Witbrock, Gillian Dobbie

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks.

Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.

Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu

CoRR, 2023

Meerkat Behaviour Recognition Dataset.

Mitchell Rogers, Gaël Gendron, David Arturo Soriano Valdez, Mihailo Azhar, Yang Chen, Shahrokh Heidari, Caleb Perelini, Padriac O'Leary, Kobe Knowles, Izak Tait, Simon Eyre, Michael Witbrock, Patrice Delmas

CoRR, 2023

Large Language Models Are Not Abstract Reasoners.

Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

CoRR, 2023

Disentanglement of Latent Representations via Sparse Causal Interventions.

Gaël Gendron, Michael Witbrock, Gillian Dobbie

CoRR, 2023

A Survey of Methods, Challenges and Perspectives in Causality.

Gaël Gendron, Michael Witbrock, Gillian Dobbie

CoRR, 2023

Disentanglement of Latent Representations via Causal Interventions.

Gaël Gendron, Michael Witbrock, Gillian Dobbie

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

2022

Relating Blindsight and AI: A Review.

Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock

J. Artif. Intell. Conscious., 2022