Faustino J. Gomez

63 papers A* 7A 9B 5C 2Journal 20Unranked 20

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