dblp.uni-trier.dewww.uni-trier.de

Faustino J. Gomez

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo

2008
17EEJulian 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
16EEJulian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez: Countering Poisonous Inputs with Memetic Neuroevolution. PPSN 2008: 610-619
2007
15EEJürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez: Training Recurrent Networks by Evolino. Neural Computation 19(3): 757-779 (2007)
2006
14EEFaustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen: Efficient Non-linear Control Through Neuroevolution. ECML 2006: 654-662
13EEJürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. ESANN 2006: 593-598
12 Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IAS 2006: 272-281
11EEAlex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber: Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML 2006: 369-376
10EEHermann 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
9EEViktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot CoRR abs/cs/0603023: (2006)
2005
8EEDaan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber: Modeling systems with internal state using evolino. GECCO 2005: 1795-1802
7EEFaustino J. Gomez, Jürgen Schmidhuber: Co-evolving recurrent neurons learn deep memory POMDPs. GECCO 2005: 491-498
6EEFaustino J. Gomez, Jürgen Schmidhuber: Evolving Modular Fast-Weight Networks for Control. ICANN (2) 2005: 383-389
5EEJürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez: Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. IJCAI 2005: 853-858
4EEJürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines CoRR abs/cs/0512062: (2005)
2004
3EEFaustino J. Gomez, Risto Miikkulainen: Transfer of Neuroevolved Controllers in Unstable Domains. GECCO (2) 2004: 957-968
2003
2EEFaustino J. Gomez, Risto Miikkulainen: Active Guidance for a Finless Rocket Using Neuroevolution. GECCO 2003: 2084-2095
1999
1 Faustino J. Gomez, Risto Miikkulainen: Solving Non-Markovian Control Tasks with Neuro-Evolution. IJCAI 1999: 1356-1361

Coauthor Index

1Santiago Fernández [11]
2Matteo Gagliolo [4] [13] [15]
3Alex Graves [11]
4Marcus Hutter [9] [12]
5Alois Knoll [10]
6Hermann Georg Mayer [10]
7Risto Miikkulainen [1] [2] [3] [14]
8Istvan Nagy [10]
9Tom Schaul [16]
10Jürgen Schmidhuber [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17]
11Julian Togelius [16] [17]
12Daan Wierstra [4] [5] [8] [10] [13] [15]
13Viktor Zhumatiy [9] [12]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)