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The permutation symmetry of neurons in each layer of a deep neural network gives rise not only to multiple equivalent global minima of the loss function, but also to first-order saddle points located on the path between the global minima.…

Machine Learning · Computer Science 2019-07-08 Johanni Brea , Berfin Simsek , Bernd Illing , Wulfram Gerstner

In this paper we analyze a quartic tensor model with one interaction for a tensor of arbitrary rank. This model has a critical point where a continuous limit of infinitely refined random geometries is reached. We show that the critical…

High Energy Physics - Theory · Physics 2015-12-02 Dario Benedetti , Razvan Gurau

This paper summarizes some work I've been doing on eigenvalue correlators of Random Matrix Models which show some interesting behaviour. First we consider matrix models with gaps in there spectrum or density of eigenvalues. The…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 N. Deo

We study symmetry breaking in $Z_2$ symmetric large $N$ matrix models. In the planar approximation for both the symmetric double-well $\phi^4$ model and the symmetric Penner model, we find there is an infinite family of broken symmetry…

High Energy Physics - Theory · Physics 2019-08-15 Richard C. Brower , Nevidita Deo , Sanjay Jain , Chung-I Tan

The effect of disorder on the perpendicular magnetoresistance of magnetic multilayers is investigated theoretically. Various kinds of disorder are considered: (i) interface substitutional disorder and (ii) bulk disorder in the various…

Mesoscale and Nanoscale Physics · Physics 2009-10-31 Patrick Bruno , Hiroyoshi Itoh , Junichiro Inoue , Shinji Nonoyama

This article is dedicated to the following class of problems. Start with an $N\times N$ Hermitian matrix randomly picked from a matrix ensemble - the reference matrix. Applying a rank-$t$ perturbation to it, with $t$ taking the values $1\le…

Statistical Mechanics · Physics 2020-12-30 Barbara Dietz , Holger Schanz , Uzy Smilansky , Hans Weidenmüller

This paper rigorously shows how over-parameterization changes the convergence behaviors of gradient descent (GD) for the matrix sensing problem, where the goal is to recover an unknown low-rank ground-truth matrix from near-isotropic linear…

Machine Learning · Computer Science 2023-11-27 Nuoya Xiong , Lijun Ding , Simon S. Du

We consider interacting paraparticle chains with a constant $R$-matrix where the Hamiltonian sums over the internal degrees (flavors) of the paraparticles. For such flavor-blind Hamiltonians we show a general factorization of the Hilbert…

Statistical Mechanics · Physics 2026-03-03 D. Schuricht , J. Sirker

The mobility of two interacting particles in a random potential is studied, using the sensitivity of their levels to a change of boundary conditions. The delocalization in Hilbert space induced by the interaction of the two particle Fock…

Strongly Correlated Electrons · Physics 2009-10-30 Eric Akkermans , Jean-Louis Pichard

We report an instability exhibited by a fluid system when coupling two distinct types of waves, both linearly damped. While none of them is unstable on its own, they amplify one another, resulting in a previously unreported convective…

Soft Condensed Matter · Physics 2025-03-05 Grégoire Le Lay , Adrian Daerr

In two-dimensional lattice fermion model a determinant representation for the two-point correlation function of the twist field in the disorder phase is obtained. This field is defined by twisted boundary conditions for lattice fermion…

High Energy Physics - Theory · Physics 2007-05-23 Anatolij I. Bugrij , Vitalij N. Shadura

We investigate the synchronization features of a network of spiking neurons under a distance-dependent coupling following a power-law model. The interplay between topology and coupling strength leads to the existence of different…

Neurons and Cognition · Quantitative Biology 2020-11-11 R. C. Budzinski , K. L. Rossi , B. R. R. Boaretto , T. L. Prado , S. R. Lopes

We consider level crossing in a matrix family $H=H_0+\lambda V$ where $H_0$ is a fixed $N\times N$ matrix and $V$ belongs to one of the standard Gaussian random matrix ensembles. We study the probability distribution of level crossing…

Mathematical Physics · Physics 2017-02-01 B. Shapiro , K. Zarembo

The frustrated ladder with alternate ferromagnetic(F) exchange $-J_F$ and AF exchange $J_A$ to first neighbors and F exchange $-J_L$ to second neighbors is studied by exact diagonalization (ED) and density matrix renormalization group…

Strongly Correlated Electrons · Physics 2024-03-11 Monalisa Chatterjee , Manoranjan Kumar , Zoltán G. Soos

We present useful connections between the finite difference and the finite element methods for a model boundary value problem. We start from the observation that, in the finite element context, the interpolant of the solution in one…

Numerical Analysis · Mathematics 2021-07-16 Cristina Bacuta , Constantin Bacuta

Robust and semiparametric statistics are of the same historical origin and largely employ the same locally asymptotically normal framework. In our talk, we consider he following more intrinsic connections of both fields: 1) Robust influence…

Statistics Theory · Mathematics 2013-06-25 Helmut Rieder

The spontaneous symmetry breaking at zero temperature in the four-component four-dimensional scalar $\lambda \phi^4_4$ model (the O(4) model) is investigated on a lattice for different values of the coupling constant $\lambda$. A general…

High Energy Physics - Lattice · Physics 2015-01-20 Vadim Demchik , Alexey Gulov , Vladimir Skalozub

We present explicitly a relation between the Nambu-Goldstone boson and the order parameter in non-relativistic systems with spontaneous symmetry breaking. We show that the Nambu-Goldstone bosons are characterized by transformation property…

High Energy Physics - Theory · Physics 2017-10-25 Takashi Yanagisawa

Macroscopic loop correlators are investigated in the hermitian one matrix model with the potential perturbed by the higher order curvature term. In the phase of smooth surfaces the model is equivalent to the minimal conformal matter coupled…

High Energy Physics - Theory · Physics 2009-10-22 G. P. Korchemsky

We describe the large-time moment asymptotics for the parabolic Anderson model where the speed of the diffusion is coupled with time, inducing an acceleration or deceleration. We find a lower critical scale, below which the mass flow gets…

Probability · Mathematics 2010-10-19 Wolfgang Konig , Sylvia Schmidt
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