Zobrazeno 1 - 10
of 4 432
pro vyhledávání: '"Crişan TO"'
In this paper, we introduce a new classical fractional particle model incorporating fractional first derivatives. This model represents a natural extension of the standard classical particle with kinetic energy being quadratic in fractional first der
Externí odkaz:
http://arxiv.org/abs/2407.14552
This paper is devoted to the problem of approximating non-linear Stochastic Partial Differential Equations (SPDEs) via interacting particle systems. In particular, we consider the Stochastic McKean-Vlasov equation, which is the McKean-Vlasov (MKV) PD
Externí odkaz:
http://arxiv.org/abs/2404.07488
In recent work, the authors have developed a generic methodology for calibrating the noise in fluid dynamics stochastic partial differential equations where the stochasticity was introduced to parametrize subgrid-scale processes. The stochastic param
Externí odkaz:
http://arxiv.org/abs/2403.10578
Autor:
Crisan, Dan, Lang, Oana
For a class of evolution equations that possibly have only local solutions, we introduce a stochastic component that ensures that the solutions of the corresponding stochastically perturbed equations are global. The class of partial differential equa
Externí odkaz:
http://arxiv.org/abs/2403.05923
Autor:
Shevchenko, Igor, Crisan, Dan
This study proposes deterministic and stochastic energy-aware hybrid models that should enable simulations of idealized and primitive-equations Geophysical Fluid Dynamics (GFD) models at low resolutions without compromising on quality compared with h
Externí odkaz:
http://arxiv.org/abs/2402.13328
In this study, we explore data assimilation for the Stochastic Camassa-Holm equation through the application of the particle filtering framework. Specifically, our approach integrates adaptive tempering, jittering, and nudging techniques to construct
Externí odkaz:
http://arxiv.org/abs/2402.06927
Autor:
Almudaifer, Abdullateef I., Covington, Whitney, Hairston, JaMor, Deitch, Zachary, Anand, Ankit, Carroll, Caleb M., Crisan, Estera, Bradford, William, Walter, Lauren, Ellen, Eaton, Feldman, Sue S., Osborne, John D.
Background: The semantics of entities extracted from a clinical text can be dramatically altered by modifiers, including entity negation, uncertainty, conditionality, severity, and subject. Existing models for determining modifiers of clinical entiti
Externí odkaz:
http://arxiv.org/abs/2401.15222
Autor:
Crisan, Dan, Kohatsu-Higa, Arturo
We introduce a probabilistic representation of the derivative of the semigroup associated to a multidimensional killed diffusion process defined on the half-space. The semigroup derivative is expressed as a functional of a process that is normally re
Externí odkaz:
http://arxiv.org/abs/2312.07096
Autor:
Crisan, Dan, Kohatsu-Higa, Arturo
We provide a probabilistic representation for the derivative of the semigroup corresponding to a diffusion process killed at the boundary of a half interval. In particular, we show that the derivative of the semi-group can be expressed as the expecte
Externí odkaz:
http://arxiv.org/abs/2312.07084
Autor:
Hong, Matt-Heun, Crisan, Anamaria
Generative Large Language Models (LLMs) show potential in data analysis, yet their full capabilities remain uncharted. Our work explores the capabilities of LLMs for creating and refining visualizations via conversational interfaces. We used an LLM t
Externí odkaz:
http://arxiv.org/abs/2311.05590