Programme
Registration is now closed for the 2015 conference on “Statistical Physics Approaches to Networks Across Disciplines”. The meeting was held Tuesday 20 – Friday 23 October 2015 in Devonport House, London. Topics included optimization and control in networks; inference in networks; dynamical processes on networks and network evolution, and application areas including systems biology and neurobiology; information technology and communication networks; finance and socio-economic systems; and network phenomena in photonic systems.
Presentations
Claudia Battistin, Kavli Institute, Trondheim: “Inference in kinetic Ising models with hidden nodes: a message passing algorithm”
Jean-Philippe Bouchaud, Chairman, Capital Fund Management & Ecole Polytechnique: “Understanding economic crises with agent-based models and numerical simulations”
Alfredo Braunstein, Politecnico di Torino: “Bayesian inference on epidemics onnetworks”
Barbara Bravi, King’s College London: “Path integral approaches to subnetworks description and inference”
Nicolas Brunel, University of Chicago: “Inferring learning rules in cortical circuits”
Luca Cardelli, Microsoft Research: “Noise Reduction in Complex Biological Switches”
Ryan Cubero, Abdus Salam ICTP, Trieste: “Network Approaches Towards Understanding miRNA-Mediated Cardiomyocyte Proliferation”
Caterina De Bacco, Université Paris-Sud, Orsay: “Routing optimization on networks: a statistical physics approach”
Gino Del Ferraro, KTH Stockholm: “Dynamic cavity method for spin models on sparse graph of arbitrary connectivity symmetry”
Christoph Feinauer, Politecnico di Torino:
“The Inverse Statistical Mechanics Approach to Protein Sequence Data: Beyond Contact Prediction”
Silvia Grigolon, Université Paris-Sud, Orsay: “Modelling and inference for biological systems: from auxin dynamics in plants to protein evolution”
Alberto Guggiola, LPT-ENS: “Extreme events on networks: rare random walks and spreading maximization”
Ralf Herbrich, Machine Learning, Amazon: “Machine Learning at Amazon”
Rutger Hermsen, Utrecht University: “Stochastic models of evolution driven by Spatial Heterogeneity”
Yoshiyuki Kabashima, Tokyo Institute of Technology: “Anderson localization and random lasing in a Euclidean random matrix model”
Michael Lässig, University of Cologne: “Influenza evolution as a non-equilibrium inference problem”
Fabrizio Lillo, Scuola Normale Superiore, Pisa: “Statistical network models for systemic risk_ Lillo”
Araks Martirosyan, “La Sapienza” Universita di Roma: “Probing the Limits to MicroRNA-Mediated Control of Gene Expression”
Pierre Paga, King’s College London: “Evaluating Credit Risk on Networks”
Claus Puhr, Head of Stress Testing and Strategy, Oesterreichische Nationalbank: “The banking system as network – a supervisor’s perspective”
Ludovica Romano, TUB, Berlin: “Inference in kinetic Ising models: Bayes estimators and learning curves”
David Saad, Aston University: “Route optimisation, congestion and selfish decisions”
Sergey Skipetrov, Grenoble, LPMMC – CNRS: “Anderson localization and random lasing in a Euclidean random matrix model”
Payal Tyagi, “La Sapienza” Universita di Roma: “Inference of coupling of waves in non-linear disordered medium”
Erik van Nimwegen, University of Basel: “Inferring the structure, function, and evolution of gene regulatory networks”
Fernando Vega-Redondo, Università Bocconi, Milano & IGIER: “Production Networks”
