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In recent years fully-parametric fast simulation methods based on generative models have been proposed for a variety of high-energy physics detectors. By their nature, the quality of data-driven models degrades in the regions of the phase…

机器学习 · 计算机科学 2023-03-03 Lucio Anderlini , Constantine Chimpoesh , Nikita Kazeev , Agata Shishigina

We propose a quantum algorithm for solving physical problems represented by the lattice Boltzmann formulation. Specifically, we deal with the case of a single phase, incompressible fluid obeying the Bhatnagar-Gross-Krook model. We use the…

量子物理 · 物理学 2023-04-13 Wael Itani , Katepalli R. Sreenivasan , Sauro Succi

We resolve an open problem concerning finite logical implication for path functional dependencies (PFDs).

数据库 · 计算机科学 2014-08-21 David Toman , Grant Weddell

Completely nonparametric transformation models with heteroscedastic errors are considered. Despite their flexibility, such models have rarely been used so far, since estimators of the model components have been missing and even…

统计理论 · 数学 2020-04-07 Nick Kloodt

The boundary conditions prescribing the constant traction or the so-called do-nothing conditions are frequently taken on artificial boundaries in the numerical simulations of steady flow of incompressible fluids, despite the fact that they…

流体动力学 · 物理学 2020-02-25 M. Lanzendörfer , J. Hron

Latent variable models provide a powerful framework for incorporating and inferring unobserved factors in observational data. In causal inference, they help account for hidden factors influencing treatment or outcome, thereby addressing…

机器学习 · 计算机科学 2025-08-29 Tetsuro Morimura , Tatsushi Oka , Yugo Suzuki , Daisuke Moriwaki

We consider the problem of estimating the state and unknown input for a large class of nonlinear systems subject to unknown exogenous inputs. The exogenous inputs themselves are modeled as being generated by a nonlinear system subject to…

系统与控制 · 计算机科学 2019-02-25 Martin Corless , Ankush Chakrabarty

This paper introduces a car following model where the driving scheme takes into account the deficiencies of human decision making in a general way. Aditionally, it improves certain shortcomings of most of the models currently in use: it is…

软凝聚态物质 · 物理学 2009-11-07 Ihor Lubashevsky , Peter Wagner , Reinhard Mahnke

We study a class of degenerate convection diffusion equations with a fractional nonlinear diffusion term. These equations are natural generalizations of anomalous diffusion equations, fractional conservations laws, local convection…

偏微分方程分析 · 数学 2011-07-28 Simone Cifani , Espen R. Jakobsen

Second order SUSY transformations between real and complex potentials for three important from physical point of view Sturm-Liouville problems, namely, problems with the Dirichlet boundary conditions for a finite interval, for a half axis…

量子物理 · 物理学 2009-11-13 B. F. Samsonov

Control of nonlinear uncertain systems is a common challenge in the robotics field. Nonlinear latent force models, which incorporate latent uncertainty characterized as Gaussian processes, carry the promise of representing such systems…

机器人学 · 计算机科学 2022-07-29 Thomas Woodruff , Iman Askari , Guanghui Wang , Huazhen Fang

In this paper, we introduce a nonlinear optimization problem whose objective function is the convex log-sum-exp function and the feasible region is defined as a system of fuzzy relational inequalities (FRI) defined by the Lukasiewicz…

最优化与控制 · 数学 2022-06-22 Amin Ghodousian , Alireza Norouzi Azad , Hadi Amiri

We consider an inverse spectral problem with the third-order differential equation and the non-separated boundary conditions. Two theorems on the uniqueness of the solution of this problem are proved, and a method for establishing the…

谱理论 · 数学 2008-01-25 A. M. Akhtyamov , A. V. Mouftakhov , M. Teicher , L. S. Yamilova

We define an integrable lattice model which, in the notation of Yang, in addition to the conventional 2-particle $R$-matrices also contains non-reducible 3-particle $R$-matrices. The corresponding modified Yang-Baxter equations are solved…

统计力学 · 物理学 2007-05-23 J. Ambjorn , Sh. Khachatryan , A. Sedrakyan

One critical challenge of time-series modeling is how to learn and quickly correct the model under unknown distribution shifts. In this work, we propose a principled framework, called LiLY, to first recover time-delayed latent causal…

机器学习 · 统计学 2022-02-25 Weiran Yao , Guangyi Chen , Kun Zhang

This paper considers a challenging problem of identifying a causal graphical model under the presence of latent variables. While various identifiability conditions have been proposed in the literature, they often require multiple pure…

机器学习 · 统计学 2026-02-03 Seunghyun Lee , Yuqi Gu

Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting latent confounding. While identifiability is trivial when each…

机器学习 · 计算机科学 2012-02-20 Antti Hyttinen , Frederick Eberhardt , Patrik O. Hoyer

Previous work has shown that reasoning with real-time temporal logics is often simpler when restricted to models with bounded variability---where no more than v events may occur every V time units, for given v, V. When reasoning about…

计算机科学中的逻辑 · 计算机科学 2015-02-24 Carlo A. Furia , Paola Spoletini

Statistical thermodynamics is valuable as a conceptual structure that shapes our thinking about equilibrium thermodynamic states. A cloud of unresolved questions surrounding the foundations of the theory could lead an impartial observer to…

统计力学 · 物理学 2025-10-31 O. B. Ericok , J. K. Mason

We present a perspective of simple models of nonequilibrium directed transport described in terms of a Langevin equation formalism. We consider a Brownian particle under various circumstances and driven by thermal (equilibrium) and…

统计力学 · 物理学 2024-06-04 J. Spiechowicz , J. Łuczka