The inverse problem is studied in multi-body systems with nonlinear dynamics representing, e.g., phase-locked wave systems, standard multimode and random lasers. Using a general model for four-body interacting complex-valued variables we test two methods based on pseudolikelihood, respectively with regularization and with decimation, to determine the coupling constants from sets of measured configurations. We test statistical inference predictions for increasing number of sampled configurations and for an externally tunable temperature-like parameter mimicing real data noise and helping minimization procedures. Analyzed models with phasors and rotors are generalizations of problems of real-valued spherical problems (e.g., density fluctuatio...
Inverse problems in statistical physics are motivated by the challenges of ‘big data’ in different f...
Randomly coupled Ising spins constitute the classical model of collective phenomena in disordered sy...
International audienceWe present a comprehensive model for the description of different types of par...
The inverse problem is studied in multi-body systems with nonlinear dynamics representing, e.g., pha...
40 pages, 24 figuresWe propose and test improvements to state-of-the-art techniques of Bayesian stat...
We implement a pseudolikelihood approach with l1 and l2 regularizations as well as the recently intr...
We propose and test improvements to state-of-the-art techniques of Bayeasian statistical inference ...
A statistical inference method is developed and tested for pairwise interacting systems whose degree...
We show using numerical simulations that data driven discovery using sparse regression can be used t...
Statistical Mechanics has gained a central role in modern Inference and Computer Science. Many optim...
With the increase in compute power and the advent of the big data era, inverse problems have grown m...
In this paper we solve the inverse problem for the cubic mean-field Ising model. Starting from confi...
In this Letter we propose a new method to infer the topology of the interaction network in pairwise ...
The semi-inverse method based on using an internal small parameter of the nonlinear problems is disc...
In this paper, we solve the inverse problem for the cubic mean-field Ising model. Starting from conf...
Inverse problems in statistical physics are motivated by the challenges of ‘big data’ in different f...
Randomly coupled Ising spins constitute the classical model of collective phenomena in disordered sy...
International audienceWe present a comprehensive model for the description of different types of par...
The inverse problem is studied in multi-body systems with nonlinear dynamics representing, e.g., pha...
40 pages, 24 figuresWe propose and test improvements to state-of-the-art techniques of Bayesian stat...
We implement a pseudolikelihood approach with l1 and l2 regularizations as well as the recently intr...
We propose and test improvements to state-of-the-art techniques of Bayeasian statistical inference ...
A statistical inference method is developed and tested for pairwise interacting systems whose degree...
We show using numerical simulations that data driven discovery using sparse regression can be used t...
Statistical Mechanics has gained a central role in modern Inference and Computer Science. Many optim...
With the increase in compute power and the advent of the big data era, inverse problems have grown m...
In this paper we solve the inverse problem for the cubic mean-field Ising model. Starting from confi...
In this Letter we propose a new method to infer the topology of the interaction network in pairwise ...
The semi-inverse method based on using an internal small parameter of the nonlinear problems is disc...
In this paper, we solve the inverse problem for the cubic mean-field Ising model. Starting from conf...
Inverse problems in statistical physics are motivated by the challenges of ‘big data’ in different f...
Randomly coupled Ising spins constitute the classical model of collective phenomena in disordered sy...
International audienceWe present a comprehensive model for the description of different types of par...