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2020 – today
- 2023
[c16]Thomas Miconi:
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning. ICML 2023: 24756-24774- [i13]Thomas Miconi:
A large parametrized space of meta-reinforcement learning tasks. CoRR abs/2302.05583 (2023) - [i12]Samuel Schmidgall, Jascha Achterberg, Thomas Miconi, Louis Kirsch, Rojin Ziaei, S. Pardis Hajiseyedrazi, Jason Eshraghian:
Brain-inspired learning in artificial neural networks: a review. CoRR abs/2305.11252 (2023) - 2022
- [c15]Thomas Miconi:
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning. GECCO Companion 2022: 1971-1978 - 2021
- [i11]Thomas Miconi:
Multi-layer Hebbian networks with modern deep learning frameworks. CoRR abs/2107.01729 (2021) - [i10]Thomas Miconi:
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning. CoRR abs/2112.08588 (2021) - 2020
- [c14]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. ECAI 2020: 992-1001 - [c13]Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski:
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients. ICML 2020: 2825-2835 - [c12]Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor:
Enabling Continual Learning with Differentiable Hebbian Plasticity. IJCNN 2020: 1-8 - [i9]Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski:
Estimating Q(s, s') with Deep Deterministic Dynamics Gradients. CoRR abs/2002.09505 (2020) - [i8]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. CoRR abs/2002.09571 (2020) - [i7]Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley:
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. CoRR abs/2002.10585 (2020) - [i6]Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor:
Enabling Continual Learning with Differentiable Hebbian Plasticity. CoRR abs/2006.16558 (2020)
2010 – 2019
- 2019
- [c11]Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley:
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. ICLR (Poster) 2019 - [i5]Ted Moskovitz, Rui Wang, Janice Lan, Sanyam Kapoor, Thomas Miconi, Jason Yosinski, Aditya Rawal:
First-Order Preconditioning via Hypergradient Descent. CoRR abs/1910.08461 (2019) - 2018
- [c10]Thomas Miconi, Kenneth O. Stanley, Jeff Clune:
Differentiable plasticity: training plastic neural networks with backpropagation. ICML 2018: 3556-3565 - [i4]Thomas Miconi, Jeff Clune, Kenneth O. Stanley:
Differentiable plasticity: training plastic neural networks with backpropagation. CoRR abs/1804.02464 (2018) - 2017
- [i3]Thomas Miconi:
A note on the impossibility of "fairness". CoRR abs/1707.01195 (2017) - 2016
- [j3]Thomas Miconi, Rufin VanRullen
:
A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure. PLoS Comput. Biol. 12(2) (2016) - [j2]Wolfgang Banzhaf, Bert Baumgaertner, Guillaume Beslon, René Doursat, James A. Foster, Barry McMullin, Vinícius Veloso de Melo, Thomas Miconi, Lee Spector, Susan Stepney, Roger White:
Defining and simulating open-ended novelty: requirements, guidelines, and challenges. Theory Biosci. 135(3): 131-161 (2016) - [i2]Thomas Miconi:
Neural networks with differentiable structure. CoRR abs/1606.06216 (2016) - [i1]Thomas Miconi:
Backpropagation of Hebbian plasticity for lifelong learning. CoRR abs/1609.02228 (2016) - 2011
- [c9]Thomas Miconi, Rufin VanRullen:
A feedback model of attentional effects in the visual cortex. CIMSIVP 2011: 106-113
2000 – 2009
- 2009
- [c8]Thomas Miconi:
Why Coevolution Doesn't "Work": Superiority and Progress in Coevolution. EuroGP 2009: 49-60 - 2008
- [b1]Thomas Miconi:
The road to everywhere : Evolution, complexity and progress in natural and artificial systems. University of Birmingham, UK, 2008 - [j1]Thomas Miconi:
Evolution and Complexity: The Double-Edged Sword. Artif. Life 14(3): 325-344 (2008) - [c7]Thomas Miconi:
Fitness Transmission - A Genealogic Signature of Adaptive Evolution. ALIFE 2008: 404-411 - [c6]Thomas Miconi:
Evosphere: Evolutionary dynamics in a population of fighting virtual creatures. IEEE Congress on Evolutionary Computation 2008: 3066-3073 - [c5]Thomas Miconi:
In Silicon No One Can Hear You Scream: Evolving Fighting Creatures. EuroGP 2008: 25-36 - 2006
- [c4]Thomas Miconi, Alastair Channon:
The N-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution. IEEE Congress on Evolutionary Computation 2006: 1639-1646 - 2005
- [c3]Thomas Miconi, Alastair Channon:
Analysing Co-evolution Among Artificial 3D Creatures. Artificial Evolution 2005: 167-178 - [c2]Thomas Miconi, Alastair Channon:
A virtual creatures model for studies in artificial evolution. Congress on Evolutionary Computation 2005: 565-572 - 2003
- [c1]Thomas Miconi:
When Evolving Populations is Better than Coevolving Individuals: The Blind Mice Problem. IJCAI 2003: 647-652
Coauthor Index
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