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End-to-end models reach state-of-the-art performance for speech recognition, but global soft attention is not monotonic, which might lead to convergence problems, to instability, to bad generalisation, cannot be used for online streaming,…

Computation and Language · Computer Science 2021-04-01 Albert Zeyer , Ralf Schlüter , Hermann Ney

Because the local concentration of vacancies in any material is bounded, their motion must be accompanied by nonlinear effects. Here we look for such effects in a simple model for electric field driven vacancy motion in memristors, solving…

Mesoscale and Nanoscale Physics · Physics 2021-10-22 Irina V. Boylo , Konstantin L. Metlov

We introduce computational methods that allow for effective estimation of a flexible, parametric non-stationary spatial model when the field size is too large to compute the multivariate normal likelihood directly. In this method, the field…

Computation · Statistics 2018-09-20 Amanda Muyskens , Joseph Guinness , Montserrat Fuentes

A system of partial differential equations representing stochastic neural fields was recently proposed with the aim of modelling the activity of noisy grid cells when a mammal travels through physical space. The system was rigorously…

Analysis of PDEs · Mathematics 2023-07-18 José Antonio Carrillo , Pierre Roux , Susanne Solem

The non-Markovian stochastic dynamics involving Levy flights and a potential in the form of a harmonic and non-linear oscillator is discussed. The subordination technique is applied and the memory effects, which are nonhomogeneous, are…

Statistical Mechanics · Physics 2015-07-21 Tomasz Srokowski

The stochastic Kuramoto model defined on a sequence of graphs is analyzed: the emphasis is posed on the relationship between the mean field limit, the connectivity of the underlying graph and the long time behavior. We give an explicit…

Probability · Mathematics 2019-12-24 Fabio Coppini

We study the task of learning Generalized Linear models (GLMs) in the agnostic model under the Gaussian distribution. We give the first polynomial-time algorithm that achieves a constant-factor approximation for \textit{any} monotone…

Machine Learning · Computer Science 2025-08-05 Nikos Zarifis , Puqian Wang , Ilias Diakonikolas , Jelena Diakonikolas

Based on the tools of limiting variational analysis, we derive a sequential necessary optimality condition for nonsmooth mathematical programs which holds without any additional assumptions. In order to ensure that stationary points in this…

Optimization and Control · Mathematics 2023-06-22 Patrick Mehlitz

In this paper it is implemented how to make compatible the boundary conditions and the gauge fixing conditions for complex general relativity written in terms of Ashtekar variables using the Henneaux-Teitelboim-Vergara approach. Moreover,…

General Relativity and Quantum Cosmology · Physics 2015-06-25 Merced Montesinos , Jose David Vergara

We show that the classical $A_{\infty}$ condition is not sufficient for a lower square function estimate in the non-homogeneous weighted $L^2$ space. We also show that under the martingale $A_2$ condition, an estimate holds true, but the…

Analysis of PDEs · Mathematics 2017-05-24 K. Domelevo , P. Ivanisvili , S. Petermichl , S. Treil , A. Volberg

We show the existence of local and global in time weak martingale solutions for a stochastic version of the Othmer-Dunbar-Alt kinetic model of chemotaxis under suitable assumptions on the turning kernel and stochastic drift coefficients,…

Analysis of PDEs · Mathematics 2026-03-30 Benjamin Gess , Sebastian Herr , Anne Niesdroy

A model describing the evolution of a liquid crystal substance in the nematic phase is investigated in terms of two basic state variables: the {\it velocity field} $\bu$ and the {\it director field} $\di$, representing the preferred…

Analysis of PDEs · Mathematics 2014-01-10 Hana Petzeltová , Elisabetta Rocca , Giulio Schimperna

The most successful and popular machine learning models of atomic-scale properties derive their transferability from a locality ansatz. The properties of a large molecule or a bulk material are written as a sum over contributions that…

Chemical Physics · Physics 2020-01-08 Andrea Grisafi , Michele Ceriotti

The diffusion equation is extended by including spatial-temporal memory in such a manner that the conservation of the concentration is maintained. The additional memory term gives rise to the formation of non-trivial stationary solutions.…

Statistical Mechanics · Physics 2009-11-10 Steffen Trimper , Knud Zabrocki

We study analytically and numerically a model of random sequential adsorption (RSA) of segments on a line, subject to some constraints suggested by two kinds of physical situations: - deposition of dimers on a lattice where the sites have a…

Condensed Matter · Physics 2016-08-31 B. Bonnier , Y. Leroyer , E. Pommiers

We propose an $L^2$ norm for stationary Autoregressive Moving Average (ARMA) models. We look at ARMA models within the Hilbert space of the past with present of a true purely linearly non-deterministic stationary process $X_t$, and compute…

Machine Learning · Computer Science 2026-04-16 Anand Ganesh , Babhrubahan Bose , Anand Rajagopalan

In this paper, we study a particular class of solutions to the Rayleigh--Boltzmann equation, known in the nonlinear setting as \emph{homoenergetic solutions}. These solutions take the form $ g(x, v, t) = f(v - L(t)x, t),$ where the matrix…

Analysis of PDEs · Mathematics 2026-01-23 Nicola Miele , Alessia Nota , Juan J. L. Velázquez

We consider a strongly nonlinear PDE system describing solid-solid phase transitions in shape memory alloys. The system accounts for the evolution of an order parameter (related to different symmetries of the crystal lattice in the phase…

Analysis of PDEs · Mathematics 2013-07-08 Elena Bonetti , Pierluigi Colli , Mauro Fabrizio , Gianni Gilardi

We are concerned with the large-time behavior of the radially symmetric solution for multidimensional Burgers equation on the exterior of a ball $\mathbb{B}_{r_0}(0)\subset \mathbb{R}^n$ for $n\geq 3$ and some positive constant $r_0>0$,…

Analysis of PDEs · Mathematics 2019-08-12 Tong Yang , Huijiang Zhao , Qingsong Zhao

We are concerned with a stochastic mean curvature flow of graphs over a periodic domain of any space dimension. We establish existence of martingale solutions which are strong in the PDE sense and study their large-time behavior. Our…

Probability · Mathematics 2019-03-13 Nils Dabrock , Martina Hofmanová , Matthias Röger