58 citations · 336 across the 38 of their papers we have counts for
12 papers · 1 filter
Structure Learning in Inverse Ising Problems Using -Regularized Linear Estimator
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
The inference performance of the pseudolikelihood method is discussed in the framework of the inverse Ising problem when the -regularized (ridge) linear regression is adopt…
Learning performance in inverse Ising problems with sparse teacher couplings
Alia Abbara, Yoshiyuki Kabashima, Tomoyuki Obuchi +1
We investigate the learning performance of the pseudolikelihood maximization method for inverse Ising problems. In the teacher-student scenario under the assumption that the teache…
Statistical mechanical analysis of sparse linear regression as a variable selection problem
Tomoyuki Obuchi, Yoshinori Nakanishi-Ohno, Masato Okada +1
An algorithmic limit of compressed sensing or related variable-selection problems is analytically evaluated when a design matrix is given by an overcomplete random matrix. The repl…
Inferring neuronal couplings from spiking data using a systematic procedure with a statistical criterion
Yu Terada, Tomoyuki Obuchi, Takuya Isomura +1
Recent remarkable advances in the experimental techniques have provided a background for inferring neuronal couplings from point process data that includes a great number of neuron…
Monte Carlo simulations of the three-dimensional XY spin glass focusing on the chiral and the spin order
Tomoyuki Obuchi, Hikaru Kawamura
The ordering of the three-dimensional isotropic {\it XY} spin glass with the nearest-neighbor random Gaussian coupling is studied by extensive Monte Carlo simulations. To investiga…
Partition-function zeros of spherical spin glasses and their relevance to chaos
Tomoyuki Obuchi, Kazutaka Takahashi
We investigate partition-function zeros of the many-body interacting spherical spin glass, the so-called -spin spherical model, with respect to the complex temperature in the th…