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11/06/2014, 09:00
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David Sherrington (Rudolf Peierls Centre for Theoretical Physics, University of Oxford, UK)11/06/2014, 10:00In 1979 John Hertz introduced the concept of the Stoner Glass to describe spin glass ordering in itinerant transition metal magnetic alloys. Two decades earlier an interesting behaviour (of distinctly frequency-dependent but sharpish peaks in the dynamical permittivity) was observed in some ceramic ionic alloys, now known as relaxor ferroelectrics. They have received a great deal of...Go to contribution page
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Heinz Horner (Inst. für Theor. Physik, University of Heidelberg)11/06/2014, 11:00Time-reparametrization-invariance has been discussed in the context of glasses as well as different models of spin glasses. In particular I have investigated this question within the framework of the spherical p-spin-glass-model, since in this model at least the equations of motion can be written down in a closed form. They are closely related to the mode coupling approach for glasses....Go to contribution page
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Nicolas Sourlas (Ecole Normale Superieure, Paris)11/06/2014, 13:00New numerical simulations of the random field Ising model at zero temperature have been performed recently. I will review the results of these simulations which add new hindsight to the nature of the phase transition in this model.Go to contribution page
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Reimer Kuhn (Kings College, London)11/06/2014, 14:30We compute spectra of large random stochastic matrices, i.e. Markov matrices defined on random graphs, where each edge (ij) in a (sparse) random graph is given a positive random weight W_{ij}>0 in such a fashion that the each column sum of the matrix W is normalized to one, \sum_i W_{ij}= 1. We use the replica method to compute spectra in the thermodynamic limit, and the cavity...Go to contribution page
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Theo Nieuwenhuizen (University of Amsterdam, The Netherlands)11/06/2014, 15:30Stochastic electrodynamics assumes a classical world in a background of stochastic electromagnetic fields having the zero-point Planck energy $\hbar\omega/2$ per mode. The theory explains various linear problems, such as harmonic oscillators and the Casimir effect. Under certain assumptions, the Heisenberg and Schrodinger equations have been derived. Likewise, entanglement has been...Go to contribution page
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Peter Latham (UCL, UK)12/06/2014, 09:00Both natural and artificial systems often exhibit a surprising degree of statistical regularity. One such regularity is Zipf's law. Originally formulated for word frequency, Zipf's law has since been observed in a broad range of phenomena, including city size, firm size, mutual fund size, amino acid sequences, and neural activity. Partly because it is so unexpected, a great deal of...Go to contribution page
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David Saad (Aston University, Birmingham, UK)12/06/2014, 10:00The dynamics of non-equilibrium Ising model with parallel updates is investigated using a generalized mean field approximation that incorporates multiple two-site correlations at any two time steps, which can be obtained recursively. The proposed method shows significant improvement in predicting local system properties compared to other mean field approximation techniques,...Go to contribution page
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Guido Sanguinetti (University of Edinburg)12/06/2014, 11:15Stochastic processes are widely used mathematical models in disciplines ranging from biology to physics and economics. Consequently, there has been considerable interest in the statistics and machine learning communities in devising approximate Bayesian inference methods for specific classes of stochastic processes. The general scenario considered is that the data consists of noisy...Go to contribution page
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Ramon Grima (University of Edinburg)12/06/2014, 13:45Exact solutions of the chemical master equation are only known for a handful of simple chemical systems. In the past decade, the linear-noise approximation (LNA) has become a popular means to systematically approximate the master equation and to hence obtain insight into the effect of noise on the dynamics of biochemical systems. However a number of assumptions underlying the LNA...Go to contribution page
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Bert Kappen (University of Nijmegen, The Netherlands)12/06/2014, 15:15Intelligent systems, whether natural or artificial, must act in a world that is highly unpredictable. To plan actions with uncertainty is a stochastic optimal control problem. However, there are two fundamental problems: the optimal control solution is intractable to compute and intractable to represent due the non-trivial state dependence of the optimal control. This has prevented large...Go to contribution page
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Enzo Marinari (Universita di Roma, La Sapienza, Rome)12/06/2014, 16:15New experimental results on bacterial growth inspire a novel top-down approach to study cell metabolism, combining flux balance and proteomics constraints. Flux Balance Analysis has been proven a very useful tool in modeling cellular metabolism, but it is unable to capture features such as the switch to anaerobic metabolism at high growth rates observed in bacteria. We introduce the...Go to contribution page
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Federico RICCI-TERSENGHI (Universita di Roma, La Sapienza, Roma)13/06/2014, 10:00A long standing problem in neuroscience, both in modeling and in data analysis, is the one of inferring synaptic couplings from correlations of the sampled neural activities. The recent availability of techniques allowing simultaneous recording from several tens electrodes, in-vitro as well as in-vivo, gave new momentum to research in this direction. In particular, much effort has...Go to contribution page
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Giorgio Parisi (Universita di Roma, La Sapienza, Rome)13/06/2014, 11:45In this talk I will describe line phase transitions in the dynamics of disordered systems. I will elucidate the relations between the fate of this transition at low temperature and the equilibrium properties of the system. As an example I will discuss standard mean field models, as the p-spin models, and new realistic mean field models as the Mari-Kurchan model for hard spheres.Go to contribution page
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Ole Winther (DTU, Copenhagen)13/06/2014, 14:00Expectation Propagation (EP) provides a framework for approximate inference closely related to the TAP equations. When the model under consideration is over a latent Gaussian field, with the approximation being Gaussian, we show how these approximations can systematically be corrected. A perturbative expansion is made of the exact but intractable correction, and can be applied to the...Go to contribution page
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Matteo Marsili (ICTP, Trieste)13/06/2014, 15:00
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David Saad (Aston University, Birmingham, UK)
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Sara Solla (Northwestern Unviersity)
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Sara Solla (Northwestern University)
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