Zobrazeno 1 - 10
of 17 989
pro vyhledávání: '"Nicolaï A"'
The Langevin dynamics is a diffusion process extensively used, in particular in molecular dynamics simu-lations, to sample Gibbs measures. Some alternatives based on (piecewise deterministic) kinetic velocity jumpprocesses have gained interest over t
Externí odkaz:
http://arxiv.org/abs/2410.08846
In this paper we study the question of how to reconstruct the state of a power system using Phasor Measurement Units (PMUs). In our previous research we proved that this question has an affirmative answer imposing some rather strict structural assump
Externí odkaz:
http://arxiv.org/abs/2410.04854
This is mainly a survey on the properties of Strong Metric Regularity (SMR) and Strong Metric subRegularity (SMsR) of mappings representing first order optimality conditions (so-called optimality mappings) of optimization problems in infinite dimensi
Externí odkaz:
http://arxiv.org/abs/2409.19452
Trajectories can be regarded as time-series of coordinates, typically arising from motile objects. Methods for trajectory classification are particularly important to detect different movement patterns, while methods for regression to compute motilit
Externí odkaz:
http://arxiv.org/abs/2409.18832
Autor:
Nicolai, Hermann
This contribution gives a panoramic overview of the development of N=8 supergravity and its relation to other maximally supersymmetric theories over the past 40 years. It also provides a personal perspective on the future role of this theory in attem
Externí odkaz:
http://arxiv.org/abs/2409.18656
Autor:
Gyöngy, István, Krylov, Nicolai V.
Existence, uniqueness and stability of the solutions of linear stochastic evolution equations are investigated. The results obtained are used to prove theorems on solvability of linear second order stochastic partial differential equations in $L_{p}$
Externí odkaz:
http://arxiv.org/abs/2409.18242
Autor:
Numan, Nels, Rajaram, Shwetha, Kumaravel, Balasaravanan Thoravi, Marquardt, Nicolai, Wilson, Andrew D.
There is increased interest in using generative AI to create 3D spaces for Virtual Reality (VR) applications. However, today's models produce artificial environments, falling short of supporting collaborative tasks that benefit from incorporating the
Externí odkaz:
http://arxiv.org/abs/2409.13926
Autor:
Dorka, Nicolai
Reinforcement learning from human feedback (RLHF) has become a key method for aligning large language models (LLMs) with human preferences through the use of reward models. However, traditional reward models typically generate point estimates, which
Externí odkaz:
http://arxiv.org/abs/2409.10164
Autor:
Castaldo, Luca, Nicolai, Carlo
{The paper studies classical, type-free theories of truth and determinateness. Recently, Volker Halbach and Kentaro Fujimoto proposed a novel approach to classical determinate truth, in which determinateness is axiomatized by a primitive predicate. I
Externí odkaz:
http://arxiv.org/abs/2409.04316
In this work, we analyze the cosmological model in which the expansion is driven by a classical, free Klein-Gordon field on a flat, four-dimensional Friedmann-Lema\^itre-Robertson-Walker spacetime. The model allows for arbitrary mass, non-zero cosmol
Externí odkaz:
http://arxiv.org/abs/2408.16549