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ORCIDFaustino J. Gomez
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- affiliation: University of Lugano, Dalle Molle Institute for Artificial Intelligence Research (IDSIA)
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2020 – today
- 2023
[i13]Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino J. Gomez:
Bayesian Flow Networks. CoRR abs/2308.07037 (2023)- 2021
- [i12]Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci:
Automatic design of novel potential 3CLpro and PLpro inhibitors. CoRR abs/2101.11890 (2021)
2010 – 2019
- 2019
- [i11]Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino J. Gomez:
Safe Interactive Model-Based Learning. CoRR abs/1911.06556 (2019) - 2018
- [c43]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS 2018: 3029-3039 - [i10]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR abs/1804.07209 (2018) - 2015
- [c42]Rupesh Kumar Srivastava, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Understanding Locally Competitive Networks. ICLR (Poster) 2015 - 2014
- [c41]Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez:
Evolving deep unsupervised convolutional networks for vision-based reinforcement learning. GECCO 2014: 541-548 - [c40]Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber:
A Clockwork RNN. ICML 2014: 1863-1871 - [c39]Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Deep Networks with Internal Selective Attention through Feedback Connections. NIPS 2014: 3545-3553 - [c38]Marijn F. Stollenga, Jürgen Schmidhuber, Faustino J. Gomez:
Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution. SAB 2014: 210-219 - [c37]Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez:
Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning. SAB 2014: 260-269 - [i9]Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber:
A Clockwork RNN. CoRR abs/1402.3511 (2014) - [i8]Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Deep Networks with Internal Selective Attention through Feedback Connections. CoRR abs/1407.3068 (2014) - 2013
- [c36]Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez:
Evolving large-scale neural networks for vision-based TORCS. FDG 2013: 206-212 - [c35]Yi Sun, Tom Schaul, Faustino J. Gomez, Jürgen Schmidhuber:
A linear time natural evolution strategy for non-separable functions. GECCO (Companion) 2013: 61-62 - [c34]Jan Koutník, Giuseppe Cuccu
, Jürgen Schmidhuber, Faustino J. Gomez:
Evolving large-scale neural networks for vision-based reinforcement learning. GECCO 2013: 1061-1068 - [c33]Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino J. Gomez, Jürgen Schmidhuber:
Compete to Compute. NIPS 2013: 2310-2318 - 2012
- [j7]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): 313-317 (2012) - [c32]Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez:
Generalized compressed network search. GECCO (Companion) 2012: 647-648 - [c31]Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber:
Complexity search for compressed neural networks. GECCO (Companion) 2012: 1455-1456 - [c30]Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber:
On the Size of the Online Kernel Sparsification Dictionary. ICML 2012 - [c29]Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber:
Compressed Network Complexity Search. PPSN (1) 2012: 316-326 - [c28]Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez:
Generalized Compressed Network Search. PPSN (1) 2012: 337-346 - [c27]Giuseppe Cuccu, Faustino J. Gomez:
Block Diagonal Natural Evolution Strategies. PPSN (2) 2012: 488-497 - [c26]Faustino J. Gomez:
Scalable Neuroevolution for Reinforcement Learning. TPNC 2012: 27-29 - [i7]Vincent Graziano, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber:
T-Learning. CoRR abs/1201.0292 (2012) - [i6]Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber:
On the Size of the Online Kernel Sparsification Dictionary. CoRR abs/1206.4623 (2012) - [i5]Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez:
A Frequency-Domain Encoding for Neuroevolution. CoRR abs/1212.6521 (2012) - 2011
- [c25]Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber:
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. AGI 2011: 41-51 - [c24]Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers:
Novelty-based restarts for evolution strategies. IEEE Congress on Evolutionary Computation 2011: 158-163 - [c23]Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber:
Curiosity-driven optimization. IEEE Congress on Evolutionary Computation 2011: 1343-1349 - [c22]Giuseppe Cuccu, Faustino J. Gomez:
When Novelty Is Not Enough. EvoApplications (1) 2011: 234-243 - [c21]Giuseppe Cuccu, Matthew D. Luciw, Jürgen Schmidhuber, Faustino J. Gomez:
Intrinsically motivated neuroevolution for vision-based reinforcement learning. ICDL-EPIROB 2011: 1-7 - [c20]Yi Sun, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber:
Incremental Basis Construction from Temporal Difference Error. ICML 2011: 481-488 - [c19]Leo Pape, Faustino J. Gomez, Juergen Ring, Jürgen Schmidhuber:
Modular deep belief networks that do not forget. IJCNN 2011: 1191-1198 - [i4]Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber:
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. CoRR abs/1103.5708 (2011) - [i3]Yi Sun, Faustino J. Gomez, Tom Schaul, Jürgen Schmidhuber:
A Linear Time Natural Evolution Strategy for Non-Separable Functions. CoRR abs/1106.1998 (2011) - 2010
- [c18]Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber:
Evolving neural networks in compressed weight space. GECCO 2010: 619-626 - [c17]Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber:
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices. NIPS 2010: 2235-2243
2000 – 2009
- 2009
- [j6]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) - [j5]Tom Schaul, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber, Christian Igel, Julian Togelius:
Ontogenetic and Phylogenetic Reinforcement Learning. Künstliche Intell. 23(3): 30-33 (2009) - [c16]Faustino J. Gomez:
Sustaining diversity using behavioral information distance. GECCO 2009: 113-120 - [c15]Faustino J. Gomez, Julian Togelius, Jürgen Schmidhuber:
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. ICANN (2) 2009: 765-774 - 2008
- [j4]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): 1521-1537 (2008) - [j3]Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen:
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. J. Mach. Learn. Res. 9: 937-965 (2008) - [c14]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 - [c13]Julian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez:
Countering Poisonous Inputs with Memetic Neuroevolution. PPSN 2008: 610-619 - 2007
- [j2]Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez:
Training Recurrent Networks by Evolino. Neural Comput. 19(3): 757-779 (2007) - 2006
- [c12]Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen:
Efficient Non-linear Control Through Neuroevolution. ECML 2006: 654-662 - [c11]Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez:
Evolino for recurrent support vector machines. ESANN 2006: 593-598 - [c10]Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber:
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IAS 2006: 272-281 - [c9]Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber:
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML 2006: 369-376 - [c8]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: 543-548 - [i2]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) - 2005
- [c7]Faustino J. Gomez, Jürgen Schmidhuber:
Co-evolving recurrent neurons learn deep memory POMDPs. GECCO 2005: 491-498 - [c6]Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber:
Modeling systems with internal state using evolino. GECCO 2005: 1795-1802 - [c5]Faustino J. Gomez, Jürgen Schmidhuber:
Evolving Modular Fast-Weight Networks for Control. ICANN (2) 2005: 383-389 - [c4]Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez:
Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. IJCAI 2005: 853-858 - [i1]Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez:
Evolino for recurrent support vector machines. CoRR abs/cs/0512062 (2005) - 2004
- [c3]Faustino J. Gomez, Risto Miikkulainen:
Transfer of Neuroevolved Controllers in Unstable Domains. GECCO (2) 2004: 957-968 - 2003
- [c2]Faustino J. Gomez, Risto Miikkulainen:
Active Guidance for a Finless Rocket Using Neuroevolution. GECCO 2003: 2084-2095
1990 – 1999
- 1999
- [c1]Faustino J. Gomez, Risto Miikkulainen:
Solving Non-Markovian Control Tasks with Neuro-Evolution. IJCAI 1999: 1356-1361 - 1997
- [j1]Faustino J. Gomez, Risto Miikkulainen:
Incremental Evolution of Complex General Behavior. Adapt. Behav. 5(3-4): 317-342 (1997)
Coauthor Index
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