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Nestor Caticha - Publications

Affiliations: 
Physics California Institute of Technology, Pasadena, CA 
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35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Caticha N. Entropic Dynamics for Learning in Neural Networks and the Renormalization Group Proceedings. 33: 10. DOI: 10.3390/proceedings2019033010  0.387
2017 Feher da Silva C, Victorino CG, Caticha N, Baldo MVC. Exploration and recency as the main proximate causes of probability matching: a reinforcement learning analysis. Scientific Reports. 7: 15326. PMID 29127418 DOI: 10.1038/S41598-017-15587-Z  0.413
2017 Amaral SDR, Baccalá LA, Barbosa LS, Caticha N. Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy. Physical Review. E. 95: 062415. PMID 28709330 DOI: 10.1103/Physreve.95.062415  0.303
2015 Boareto M, Cesar J, Leite VB, Caticha N. Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 12: 705-11. PMID 26357281 DOI: 10.1109/Tcbb.2014.2377750  0.411
2015 Caticha N, Cesar J, Vicente R. For whom will the Bayesian agents vote? Frontiers in Physics. 3. DOI: 10.3389/Fphy.2015.00025  0.6
2014 Vicente R, Susemihl A, Jericó JP, Caticha N. Moral foundations in an interacting neural networks society: A statistical mechanics analysis Physica a: Statistical Mechanics and Its Applications. 400: 124-138. DOI: 10.1016/J.Physa.2014.01.013  0.67
2013 Schonmann RH, Vicente R, Caticha N. Altruism can proliferate through population viscosity despite high random gene flow. Plos One. 8: e72043. PMID 23991035 DOI: 10.1371/Journal.Pone.0072043  0.521
2011 Caticha N, Vicente R. Agent-based social psychology: From neurocognitive processes to social data Advances in Complex Systems. 14: 711-731. DOI: 10.1142/S0219525911003190  0.56
2010 de Oliveira EA, Caticha N. Inference from aging information. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1015-20. PMID 20421181 DOI: 10.1109/Tnn.2010.2046422  0.467
2009 Vicente R, Martins ACR, Caticha N. Opinion dynamics of learning agents: Does seeking consensus lead to disagreement? Journal of Statistical Mechanics: Theory and Experiment. 2009. DOI: 10.1088/1742-5468/2009/03/P03015  0.611
2009 Biehl M, Caticha N, Riegler P. Statistical mechanics of on-line learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5400: 1-22. DOI: 10.1007/978-3-642-01805-3_1  0.644
2008 Alamino RC, Caticha N. Bayesian online algorithms for learning in discrete hidden markov models Discrete and Continuous Dynamical Systems - Series B. 9: 1-10.  0.401
2007 Roa MA, Copelli M, Kinouchi O, Caticha N. Scaling law for the transient behavior of type-II neuron models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 75: 021911. PMID 17358371 DOI: 10.1103/Physreve.75.021911  0.72
2007 Vicente R, Pereira CdB, Leite VBP, Caticha N. Long term economic relationships from cointegration maps Physica a: Statistical Mechanics and Its Applications. 380: 317-324. DOI: 10.1016/J.Physa.2007.02.067  0.534
2006 Neirotti JP, Caticha N. Statistical mechanics of program systems Journal of Physics a: Mathematical and General. 39: 10355-10361. DOI: 10.1088/0305-4470/39/33/006  0.306
2006 Caticha N, Neirotti JP. The evolution of learning systems: To Bayes or not to be Aip Conference Proceedings. 872: 203-210. DOI: 10.1063/1.2423276  0.35
2006 Alamino R, Caticha N. Online learning in discrete hidden markov models Aip Conference Proceedings. 872: 187-194. DOI: 10.1063/1.2423274  0.433
2006 Vicente R, De Toledo CM, Leite VBP, Caticha N. Underlying dynamics of typical fluctuations of an emerging market price index: The Heston model from minutes to months Physica a: Statistical Mechanics and Its Applications. 361: 272-288. DOI: 10.1016/J.Physa.2005.06.095  0.532
2003 Neirotti JP, Caticha N. Dynamics of the evolution of learning algorithms by selection. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 041912. PMID 12786401 DOI: 10.1103/Physreve.67.041912  0.514
2001 Caticha N, De Oliveira EA. Gradient descent learning in and out of equilibrium Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 63. PMID 11415143 DOI: 10.1103/Physreve.63.061905  0.435
2000 Botelho E, Mattos CR, Caticha N. Variational studies and replica symmetry breaking in the generalization problem of the binary perceptron Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 62: 6999-7007. PMID 11102056 DOI: 10.1103/Physreve.62.6999  0.467
2000 Botelho E, Mattos CR, Caticha N. Variational studies and replica symmetry breaking in the generalization problem of the binary perceptron Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 62: 6999-7007.  0.359
1998 Caticha N, Kinouchi O. Time ordering in the evolution of information processing and modulation systems Philosophical Magazine B: Physics of Condensed Matter; Statistical Mechanics, Electronic, Optical and Magnetic Properties. 77: 1565-1574. DOI: 10.1080/13642819808205049  0.784
1998 Vicente R, Kinouchi O, Caticha N. Machine Learning. 32: 179-201. DOI: 10.1023/A:1007428731714  0.8
1998 Kuva SM, Kinouchi O, Caticha N. Learning a spin glass: Determining Hamiltonians from metastable states Physica a: Statistical Mechanics and Its Applications. 257: 28-35. DOI: 10.1016/S0378-4371(98)00126-5  0.68
1997 Copelli M, Eichhorn R, Kinouchi O, Biehl M, Simonetti R, Riegler P, Caticha N. Noise robustness in multilayer neural networks Europhysics Letters. 37: 427-432. DOI: 10.1209/Epl/I1997-00167-2  0.744
1997 Vicente R, Caticha N. Functional optimization of online algorithms in multilayer neural networks Journal of Physics a: Mathematical and General. 30: L599-L605. DOI: 10.1088/0305-4470/30/17/002  0.669
1996 Kinouchi O, Caticha N. Learning algorithm that gives the Bayes generalization limit for perceptrons. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 54: R54-R57. PMID 9965174 DOI: 10.1103/Physreve.54.R54  0.793
1996 Copelli M, Kinouchi O, Caticha N. Equivalence between learning in noisy perceptrons and tree committee machines. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 53: 6341-6352. PMID 9964993 DOI: 10.1103/Physreve.53.6341  0.769
1996 Simonetti R, Caticha N. On-line learning in parity machines Journal of Physics a: Mathematical and General. 29: 4859-4867. DOI: 10.1088/0305-4470/29/16/012  0.477
1995 Kinouchi O, Caticha N. On-line versus off-line learning in the linear perceptron: A comparative study. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 52: 2878-2886. PMID 9963734 DOI: 10.1103/Physreve.52.2878  0.756
1995 Copelli M, Caticha N. On-line learning in the committee machine Journal of Physics a: Mathematical and General. 28: 1615-1625. DOI: 10.1088/0305-4470/28/6/016  0.678
1993 Kinouchi O, Caticha N. Lower bounds on generalization errors for drifting rules Journal of Physics a: General Physics. 26: 6161-6171. DOI: 10.1088/0305-4470/26/22/017  0.751
1992 Kinouchi O, Caticha N. Optimal generalization in perceptions Journal of Physics a: General Physics. 25: 6243-6250. DOI: 10.1088/0305-4470/25/23/020  0.781
1992 Kinouchi O, Caticha N. Biased learning in Boolean perceptrons Physica a: Statistical Mechanics and Its Applications. 185: 411-416. DOI: 10.1016/0378-4371(92)90482-6  0.789
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