Faustino J. Gomez

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 5

Top Topics

Evolution Strategy

Convolutional Network

Reinforcement Learning

Top Venues

Publications

Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino J. Gomez
Bayesian Flow Networks. CoRR (2023)
Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci
inhibitors. CoRR (2021)
Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino J. Gomez
Safe Interactive Model-Based Learning. CoRR (2019)
Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS (2018)
Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR (2018)
Rupesh Kumar Srivastava, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
Understanding Locally Competitive Networks. ICLR (Poster) (2015)
Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber
A Clockwork RNN. CoRR (2014)
Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
Deep Networks with Internal Selective Attention through Feedback Connections. CoRR (2014)
Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez
Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning. SAB (2014)
Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
Deep Networks with Internal Selective Attention through Feedback Connections. NIPS (2014)
Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez
Evolving deep unsupervised convolutional networks for vision-based reinforcement learning. GECCO (2014)
Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber
A Clockwork RNN. ICML (2014)
Marijn F. Stollenga, Jürgen Schmidhuber, Faustino J. Gomez
Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution. SAB (2014)
Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez
Evolving large-scale neural networks for vision-based TORCS. FDG (2013)
Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez
Evolving large-scale neural networks for vision-based reinforcement learning. GECCO (2013)
Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino J. Gomez, Jürgen Schmidhuber
Compete to Compute. NIPS (2013)
Yi Sun, Tom Schaul, Faustino J. Gomez, Jürgen Schmidhuber
A linear time natural evolution strategy for non-separable functions. GECCO (Companion) (2013)
Vincent Graziano, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber
T-Learning CoRR (2012)
Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez
Generalized Compressed Network Search. PPSN (1) (2012)
Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez
Generalized compressed network search. GECCO (Companion) (2012)
Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez
A Frequency-Domain Encoding for Neuroevolution CoRR (2012)
Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
On the Size of the Online Kernel Sparsification Dictionary. ICML (2012)
Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
On the Size of the Online Kernel Sparsification Dictionary CoRR (2012)
Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber
Compressed Network Complexity Search. PPSN (1) (2012)
Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber
Complexity search for compressed neural networks. GECCO (Companion) (2012)
Hajo Broersma, Faustino J. Gomez, Julian F. Miller, Mike Petty, Gunnar Tufte
Nascence Project: Nanoscale Engineering for Novel Computation Using Evolution. Int. J. Unconv. Comput. 8 (4) (2012)
Giuseppe Cuccu, Faustino J. Gomez
Block Diagonal Natural Evolution Strategies. PPSN (2) (2012)
Faustino J. Gomez
Scalable Neuroevolution for Reinforcement Learning. TPNC (2012)
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber
Curiosity-driven optimization. IEEE Congress on Evolutionary Computation (2011)
Giuseppe Cuccu, Matthew D. Luciw, Jürgen Schmidhuber, Faustino J. Gomez
Intrinsically motivated neuroevolution for vision-based reinforcement learning. ICDL-EPIROB (2011)
Yi Sun, Faustino J. Gomez, Tom Schaul, Jürgen Schmidhuber
A Linear Time Natural Evolution Strategy for Non-Separable Functions CoRR (2011)
Giuseppe Cuccu, Faustino J. Gomez
When Novelty Is Not Enough. EvoApplications (1) (2011)
Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments CoRR (2011)
Yi Sun, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber
Incremental Basis Construction from Temporal Difference Error. ICML (2011)
Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. AGI (2011)
Leo Pape, Faustino J. Gomez, Juergen Ring, Jürgen Schmidhuber
Modular deep belief networks that do not forget. IJCNN (2011)
Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers
Novelty-based restarts for evolution strategies. IEEE Congress on Evolutionary Computation (2011)
Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices. NIPS (2010)
Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber
Evolving neural networks in compressed weight space. GECCO (2010)
Faustino J. Gomez, Julian Togelius, Jürgen Schmidhuber
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. ICANN (2) (2009)
Tom Schaul, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber, Christian Igel, Julian Togelius
Ontogenetic and Phylogenetic Reinforcement Learning. Künstliche Intell. 23 (3) (2009)
Faustino J. Gomez
Sustaining diversity using behavioral information distance. GECCO (2009)
José David Martín-Guerrero, Faustino J. Gomez, Emilio Soria-Olivas, Jürgen Schmidhuber, Mónica Climente-Martí, N. Víctor Jiménez-Torres
A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. Expert Syst. Appl. 36 (6) (2009)
Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. J. Mach. Learn. Res. 9 (2008)
Julian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez
Countering Poisonous Inputs with Memetic Neuroevolution. PPSN (2008)
Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois C. Knoll, Jürgen Schmidhuber
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. Adv. Robotics 22 (13-14) (2008)
Julian Togelius, Faustino J. Gomez, Jürgen Schmidhuber
Learning what to ignore: Memetic climbing in topology and weight space. IEEE Congress on Evolutionary Computation (2008)
Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez
Training Recurrent Networks by Evolino. Neural Comput. 19 (3) (2007)
Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IAS (2006)
Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen
Efficient Non-linear Control Through Neuroevolution. ECML (2006)
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
Evolino for recurrent support vector machines. ESANN (2006)
Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois C. Knoll, Jürgen Schmidhuber
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. IROS (2006)
Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML (2006)
Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot CoRR (2006)
Faustino J. Gomez, Jürgen Schmidhuber
Evolving Modular Fast-Weight Networks for Control. ICANN (2) (2005)
Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber
Modeling systems with internal state using evolino. GECCO (2005)
Faustino J. Gomez, Jürgen Schmidhuber
Co-evolving recurrent neurons learn deep memory POMDPs. GECCO (2005)
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
Evolino for recurrent support vector machines CoRR (2005)
Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez
Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. IJCAI (2005)
Faustino J. Gomez, Risto Miikkulainen
Transfer of Neuroevolved Controllers in Unstable Domains. GECCO (2) (2004)
Faustino J. Gomez, Risto Miikkulainen
Active Guidance for a Finless Rocket Using Neuroevolution. GECCO (2003)
Faustino J. Gomez, Risto Miikkulainen
Solving Non-Markovian Control Tasks with Neuro-Evolution. IJCAI (1999)
Faustino J. Gomez, Risto Miikkulainen
Incremental Evolution of Complex General Behavior. Adapt. Behav. 5 (3-4) (1997)