Faustino J. Gomez

Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez: Generalized compressed network search. GECCO (Companion) 2012: 647-648

Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber: Complexity search for compressed neural networks. GECCO (Companion) 2012: 1455-1456

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: On the Size of the Online Kernel Sparsification Dictionary. ICML 2012

Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber: Compressed Network Complexity Search. PPSN (1) 2012: 316-326

Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez: Generalized Compressed Network Search. PPSN (1) 2012: 337-346

Giuseppe Cuccu, Faustino J. Gomez: Block Diagonal Natural Evolution Strategies. PPSN (2) 2012: 488-497

Vincent Graziano, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber: T-Learning. CoRR abs/1201.0292 (2012)

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: On the Size of the Online Kernel Sparsification Dictionary. CoRR abs/1206.4623 (2012)

Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez: A Frequency-Domain Encoding for Neuroevolution. CoRR abs/1212.6521 (2012)

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. AGI 2011: 41-51

Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers: Novelty-based restarts for evolution strategies. IEEE Congress on Evolutionary Computation 2011: 158-163

Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber: Curiosity-driven optimization. IEEE Congress on Evolutionary Computation 2011: 1343-1349

Giuseppe Cuccu, Faustino J. Gomez: When Novelty Is Not Enough. EvoApplications (1) 2011: 234-243

Yi Sun, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber: Incremental Basis Construction from Temporal Difference Error. ICML 2011: 481-488

Leo Pape, Faustino J. Gomez, Juergen Ring, Jürgen Schmidhuber: Modular deep belief networks that do not forget. IJCNN 2011: 1191-1198

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. CoRR abs/1103.5708 (2011)

Yi Sun, Faustino J. Gomez, Tom Schaul, Jürgen Schmidhuber: A Linear Time Natural Evolution Strategy for Non-Separable Functions. CoRR abs/1106.1998 (2011)

Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber: Evolving neural networks in compressed weight space. GECCO 2010: 619-626

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices. NIPS 2010: 2235-2243

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): 9737-9742 (2009)

Faustino J. Gomez: Sustaining diversity using behavioral information distance. GECCO 2009: 113-120

Faustino J. Gomez, Julian Togelius, Jürgen Schmidhuber: Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. ICANN (2) 2009: 765-774

Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois Knoll, Jürgen Schmidhuber: A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. Advanced Robotics 22(13-14): 1521-1537 (2008)

Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen: Accelerated Neural Evolution through Cooperatively Coevolved Synapses. Journal of Machine Learning Research 9: 937-965 (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: 3274-3281

Julian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez: Countering Poisonous Inputs with Memetic Neuroevolution. PPSN 2008: 610-619

Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez: Training Recurrent Networks by Evolino. Neural Computation 19(3): 757-779 (2007)

Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen: Efficient Non-linear Control Through Neuroevolution. ECML 2006: 654-662

Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. ESANN 2006: 593-598

Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IAS 2006: 272-281

Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber: Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML 2006: 369-376

Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois Knoll, Jürgen Schmidhuber: A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. IROS 2006: 543-548

Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. CoRR abs/cs/0603023 (2006)

Faustino J. Gomez, Jürgen Schmidhuber: Co-evolving recurrent neurons learn deep memory POMDPs. GECCO 2005: 491-498

Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber: Modeling systems with internal state using evolino. GECCO 2005: 1795-1802

Faustino J. Gomez, Jürgen Schmidhuber: Evolving Modular Fast-Weight Networks for Control. ICANN (2) 2005: 383-389

Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez: Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. IJCAI 2005: 853-858

Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. CoRR abs/cs/0512062 (2005)

Faustino J. Gomez, Risto Miikkulainen: Transfer of Neuroevolved Controllers in Unstable Domains. GECCO (2) 2004: 957-968

Faustino J. Gomez, Risto Miikkulainen: Active Guidance for a Finless Rocket Using Neuroevolution. GECCO 2003: 2084-2095

Faustino J. Gomez, Risto Miikkulainen: Solving Non-Markovian Control Tasks with Neuro-Evolution. IJCAI 1999: 1356-1361