Incremental Evolution of Complex General Behavior. - Faustino J. Gomez; Risto Miikkulainen (Adapt. Behav., 1997)

Solving Non-Markovian Control Tasks with Neuro-Evolution. - Faustino J. Gomez; Risto Miikkulainen (IJCAI, 1999)

Active Guidance for a Finless Rocket Using Neuroevolution. - Faustino J. Gomez; Risto Miikkulainen (GECCO, 2003)

Transfer of Neuroevolved Controllers in Unstable Domains. - Faustino J. Gomez; Risto Miikkulainen (GECCO (2), 2004)

Co-evolving recurrent neurons learn deep memory POMDPs. - Faustino J. Gomez; Jürgen Schmidhuber (GECCO, 2005)

Modeling systems with internal state using evolino. - Daan Wierstra; Faustino J. Gomez; Jürgen Schmidhuber (GECCO, 2005)

Evolving Modular Fast-Weight Networks for Control. - Faustino J. Gomez; Jürgen Schmidhuber (ICANN (2), 2005)

Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. - Jürgen Schmidhuber; Daan Wierstra; Faustino J. Gomez (IJCAI, 2005)

Efficient Non-linear Control Through Neuroevolution. - Faustino J. Gomez; Jürgen Schmidhuber; Risto Miikkulainen (ECML, 2006)

Evolino for recurrent support vector machines. - Jürgen Schmidhuber; Matteo Gagliolo; Daan Wierstra; Faustino J. Gomez (ESANN, 2006)

Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. - Viktor Zhumatiy; Faustino J. Gomez; Marcus Hutter; Jürgen Schmidhuber (IAS, 2006)

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. - Alex Graves; Santiago Fernández; Faustino J. Gomez; Jürgen Schmidhuber (ICML, 2006)

Training Recurrent Networks by Evolino. - Jürgen Schmidhuber; Daan Wierstra; Matteo Gagliolo; Faustino J. Gomez (Neural Comput., 2007)

Learning what to ignore: Memetic climbing in topology and weight space. - Julian Togelius; Faustino J. Gomez; Jürgen Schmidhuber (IEEE Congress on Evolutionary Computation, 2008)

Countering Poisonous Inputs with Memetic Neuroevolution. - Julian Togelius; Tom Schaul; Jürgen Schmidhuber; Faustino J. Gomez (PPSN, 2008)

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. - Hermann Georg Mayer; Faustino J. Gomez; Daan Wierstra; Istvan Nagy 002; Alois C. Knoll; Jürgen Schmidhuber (Adv. Robotics, 2008)

Accelerated Neural Evolution through Cooperatively Coevolved Synapses. - Faustino J. Gomez; Jürgen Schmidhuber; Risto Miikkulainen (J. Mach. Learn. Res., 2008)

Sustaining diversity using behavioral information distance. - Faustino J. Gomez (GECCO, 2009)

Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. - Faustino J. Gomez; Julian Togelius; Jürgen Schmidhuber (ICANN (2), 2009)

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. - José David Martín-Guerrero; Faustino J. Gomez; Emilio Soria-Olivas; Jürgen Schmidhuber; Mónica Climente-Martí; N. Víctor Jiménez-Torres (Expert Syst. Appl., 2009)

Ontogenetic and Phylogenetic Reinforcement Learning. - Tom Schaul; Daan Wierstra; Faustino J. Gomez; Jürgen Schmidhuber; Christian Igel; Julian Togelius (Künstliche Intell., 2009)

Evolving neural networks in compressed weight space. - Jan Koutník; Faustino J. Gomez; Jürgen Schmidhuber (GECCO, 2010)

Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices. - Yi Sun 003; Faustino J. Gomez; Jürgen Schmidhuber (NIPS, 2010)

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. - Yi Sun 003; Faustino J. Gomez; Jürgen Schmidhuber (AGI, 2011)

Novelty-based restarts for evolution strategies. - Giuseppe Cuccu; Faustino J. Gomez; Tobias Glasmachers (IEEE Congress on Evolutionary Computation, 2011)

Curiosity-driven optimization. - Tom Schaul; Yi Sun 003; Daan Wierstra; Faustino J. Gomez; Jürgen Schmidhuber (IEEE Congress on Evolutionary Computation, 2011)

When Novelty Is Not Enough. - Giuseppe Cuccu; Faustino J. Gomez (EvoApplications (1), 2011)

Intrinsically motivated neuroevolution for vision-based reinforcement learning. - Giuseppe Cuccu; Matthew D. Luciw; Jürgen Schmidhuber; Faustino J. Gomez (ICDL-EPIROB, 2011)

Incremental Basis Construction from Temporal Difference Error. - Yi Sun 003; Faustino J. Gomez; Mark B. Ring; Jürgen Schmidhuber (ICML, 2011)

Modular deep belief networks that do not forget. - Leo Pape; Faustino J. Gomez; Juergen Ring; Jürgen Schmidhuber (IJCNN, 2011)

Complexity search for compressed neural networks. - Faustino J. Gomez; Jan Koutník; Jürgen Schmidhuber (GECCO (Companion), 2012)

On the Size of the Online Kernel Sparsification Dictionary. - Yi Sun 003; Faustino J. Gomez; Jürgen Schmidhuber (ICML, 2012)

Block Diagonal Natural Evolution Strategies. - Giuseppe Cuccu; Faustino J. Gomez (PPSN (2), 2012)

Compressed Network Complexity Search. - Faustino J. Gomez; Jan Koutník; Jürgen Schmidhuber (PPSN (1), 2012)

Generalized Compressed Network Search. - Rupesh Kumar Srivastava; Jürgen Schmidhuber; Faustino J. Gomez (PPSN (1), 2012)

Scalable Neuroevolution for Reinforcement Learning. - Faustino J. Gomez (TPNC, 2012)

T-Learning - Vincent Graziano; Faustino J. Gomez; Mark B. Ring; Jürgen Schmidhuber (CoRR, 2012)

A Frequency-Domain Encoding for Neuroevolution - Jan Koutník; Jürgen Schmidhuber; Faustino J. Gomez (CoRR, 2012)

Nascence Project: Nanoscale Engineering for Novel Computation Using Evolution. - Hajo Broersma; Faustino J. Gomez; Julian F. Miller; Mike Petty; Gunnar Tufte (Int. J. Unconv. Comput., 2012)

Evolving large-scale neural networks for vision-based TORCS. - Jan Koutník; Giuseppe Cuccu; Jürgen Schmidhuber; Faustino J. Gomez (FDG, 2013)

Evolving large-scale neural networks for vision-based reinforcement learning. - Jan Koutník; Giuseppe Cuccu; Jürgen Schmidhuber; Faustino J. Gomez (GECCO, 2013)

A linear time natural evolution strategy for non-separable functions. - Yi Sun 003; Tom Schaul; Faustino J. Gomez; Jürgen Schmidhuber (GECCO (Companion), 2013)

Compete to Compute. - Rupesh Kumar Srivastava; Jonathan Masci; Sohrob Kazerounian; Faustino J. Gomez; Jürgen Schmidhuber (NIPS, 2013)

Evolving deep unsupervised convolutional networks for vision-based reinforcement learning. - Jan Koutník; Jürgen Schmidhuber; Faustino J. Gomez (GECCO, 2014)

A Clockwork RNN. - Jan Koutník; Klaus Greff; Faustino J. Gomez; Jürgen Schmidhuber (ICML, 2014)

Deep Networks with Internal Selective Attention through Feedback Connections. - Marijn F. Stollenga; Jonathan Masci; Faustino J. Gomez; Jürgen Schmidhuber (NIPS, 2014)

Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning. - Jan Koutník; Jürgen Schmidhuber; Faustino J. Gomez (SAB, 2014)

Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution. - Marijn F. Stollenga; Jürgen Schmidhuber; Faustino J. Gomez (SAB, 2014)

Understanding Locally Competitive Networks. - Rupesh Kumar Srivastava; Jonathan Masci; Faustino J. Gomez; Jürgen Schmidhuber (ICLR (Poster), 2015)

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. - Marco Ciccone; Marco Gallieri; Jonathan Masci; Christian Osendorfer; Faustino J. Gomez (NeurIPS, 2018)

Safe Interactive Model-Based Learning. - Marco Gallieri; Seyed Sina Mirrazavi Salehian; Nihat Engin Toklu; Alessio Quaglino; Jonathan Masci; Jan Koutník; Faustino J. Gomez (CoRR, 2019)

Automatic design of novel potential 3CLpro and PLpro inhibitors. - Timothy Atkinson 001; Saeed Saremi; Faustino J. Gomez; Jonathan Masci (CoRR, 2021)

Bayesian Flow Networks. - Alex Graves; Rupesh Kumar Srivastava; Timothy Atkinson 001; Faustino J. Gomez (CoRR, 2023)