Faustino J. Gomez

According to our database1, Faustino J. Gomez authored at least 58 papers between 1997 and 2018.

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Bibliography

2018
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations.
CoRR, 2018

2014
Deep Networks with Internal Selective Attention through Feedback Connections.
CoRR, 2014

Understanding Locally Competitive Networks.
CoRR, 2014

A Clockwork RNN.
CoRR, 2014

Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution.
Proceedings of the From Animals to Animats 13, 2014

Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning.
Proceedings of the From Animals to Animats 13, 2014

Deep Networks with Internal Selective Attention through Feedback Connections.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Clockwork RNN.
Proceedings of the 31th International Conference on Machine Learning, 2014

Evolving deep unsupervised convolutional networks for vision-based reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Compete to Compute.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A linear time natural evolution strategy for non-separable functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based TORCS.
Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

2012
Nascence Project: Nanoscale Engineering for Novel Computation Using Evolution.
IJUC, 2012

A Frequency-Domain Encoding for Neuroevolution
CoRR, 2012

On the Size of the Online Kernel Sparsification Dictionary
CoRR, 2012

T-Learning
CoRR, 2012

Scalable Neuroevolution for Reinforcement Learning.
Proceedings of the Theory and Practice of Natural Computing, 2012

Generalized Compressed Network Search.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Compressed Network Complexity Search.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Block Diagonal Natural Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

On the Size of the Online Kernel Sparsification Dictionary.
Proceedings of the 29th International Conference on Machine Learning, 2012

Generalized compressed network search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Complexity search for compressed neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
A Linear Time Natural Evolution Strategy for Non-Separable Functions
CoRR, 2011

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
CoRR, 2011

Modular deep belief networks that do not forget.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Incremental Basis Construction from Temporal Difference Error.
Proceedings of the 28th International Conference on Machine Learning, 2011

When Novelty Is Not Enough.
Proceedings of the Applications of Evolutionary Computation, 2011

Curiosity-driven optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Novelty-based restarts for evolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Evolving neural networks in compressed weight space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Ontogenetic and Phylogenetic Reinforcement Learning.
KI, 2009

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients.
Expert Syst. Appl., 2009

Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning.
Proceedings of the Artificial Neural Networks, 2009

Sustaining diversity using behavioral information distance.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Accelerated Neural Evolution through Cooperatively Coevolved Synapses.
Journal of Machine Learning Research, 2008

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.
Advanced Robotics, 2008

Countering Poisonous Inputs with Memetic Neuroevolution.
Proceedings of the Parallel Problem Solving from Nature, 2008

Learning what to ignore: Memetic climbing in topology and weight space.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Training Recurrent Networks by Evolino.
Neural Computation, 2007

2006
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
CoRR, 2006

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.
Proceedings of the Machine Learning, 2006

Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot.
Proceedings of the Intelligent Autonomous Systems 9, 2006

Evolino for recurrent support vector machines.
Proceedings of the ESANN 2006, 2006

Efficient Non-linear Control Through Neuroevolution.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Evolino for recurrent support vector machines
CoRR, 2005

Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Evolving Modular Fast-Weight Networks for Control.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Modeling systems with internal state using evolino.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Co-evolving recurrent neurons learn deep memory POMDPs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Transfer of Neuroevolved Controllers in Unstable Domains.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Active Guidance for a Finless Rocket Using Neuroevolution.
Proceedings of the Genetic and Evolutionary Computation, 2003

1999
Solving Non-Markovian Control Tasks with Neuro-Evolution.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1997
Incremental Evolution of Complex General Behavior.
Adaptive Behaviour, 1997


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