Thomas Miconi

According to our database1, Thomas Miconi authored at least 26 papers between 2003 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Brain-inspired learning in artificial neural networks: a review.
CoRR, 2023

A large parametrized space of meta-reinforcement learning tasks.
CoRR, 2023

2022
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Multi-layer Hebbian networks with modern deep learning frameworks.
CoRR, 2021

2020
Enabling Continual Learning with Differentiable Hebbian Plasticity.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Continually Learn.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
First-Order Preconditioning via Hypergradient Descent.
CoRR, 2019

Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Differentiable plasticity: training plastic neural networks with backpropagation.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
A note on the impossibility of "fairness".
CoRR, 2017

2016
Defining and simulating open-ended novelty: requirements, guidelines, and challenges.
Theory Biosci., 2016

A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure.
PLoS Comput. Biol., 2016

Backpropagation of Hebbian plasticity for lifelong learning.
CoRR, 2016

Neural networks with differentiable structure.
CoRR, 2016

2011
A feedback model of attentional effects in the visual cortex.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Multimedia, 2011

2009
Why Coevolution Doesn't "Work": Superiority and Progress in Coevolution.
Proceedings of the Genetic Programming, 12th European Conference, 2009

2008
The road to everywhere : Evolution, complexity and progress in natural and artificial systems.
PhD thesis, 2008

Evolution and Complexity: The Double-Edged Sword.
Artif. Life, 2008

In Silicon No One Can Hear You Scream: Evolving Fighting Creatures.
Proceedings of the Genetic Programming, 11th European Conference, 2008

Evosphere: Evolutionary dynamics in a population of fighting virtual creatures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Fitness Transmission - A Genealogic Signature of Adaptive Evolution.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2006
The N-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A virtual creatures model for studies in artificial evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Analysing Co-evolution Among Artificial 3D Creatures.
Proceedings of the Artificial Evolution, 2005

2003
When Evolving Populations is Better than Coevolving Individuals: The Blind Mice Problem.
Proceedings of the IJCAI-03, 2003


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