Milton Llera Montero

According to our database, Milton Llera Montero authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?

Eleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024

Successes and Limitations of Object-centric Models at Compositional Generalisation.

Milton L. Montero, Jeffrey S. Bowers, Gaurav Malhotra

CoRR, 2024

Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning.

Erwan Plantec, Joachin Winther Pedersen, Milton L. Montero, Eleni Nisioti, Sebastian Risi

CoRR, 2024

Meta-Learning an Evolvable Developmental Encoding.

Milton L. Montero, Erwan Plantec, Eleni Nisioti, Joachim Winther Pedersen, Sebastian Risi

CoRR, 2024

MindSet: Vision. A toolbox for testing DNNs on key psychological experiments.

Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers

CoRR, 2024

Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents.

Joachim Winther Pedersen, Erwan Plantec, Eleni Nisioti, Milton Montero, Sebastian Risi

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity.

Eleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

On the importance of severely testing deep learning models of cognition.

Jeffrey S. Bowers, Gaurav Malhotra, Federico Adolfi, Marin Dujmovic, Milton Llera Montero, Valerio Biscione, Guillermo Puebla, John E. Hummel, Rachel F. Heaton

Cogn. Syst. Res., December, 2023

2022

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation.

Milton Llera Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. H. Ludwig, Gaurav Malhotra

CoRR, 2022

Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation.

Milton Llera Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. H. Ludwig, Gaurav Malhotra

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

The role of Disentanglement in Generalisation.

Milton Llera Montero, Casimir J. H. Ludwig, Rui Ponte Costa, Gaurav Malhotra, Jeffrey S. Bowers

Proceedings of the 9th International Conference on Learning Representations, 2021