Zobrazeno 1 - 10
of 32 503
pro vyhledávání: '"A. Wittmann"'
Autor:
Bevanda, Petar, Hoischen, Nicolas, Wittmann, Tobias, Brüdigam, Jan, Hirche, Sandra, Houska, Boris
This paper presents a novel approach for optimal control of nonlinear stochastic systems using infinitesimal generator learning within infinite-dimensional reproducing kernel Hilbert spaces. Our learning framework leverages data samples of system dyn
Externí odkaz:
http://arxiv.org/abs/2412.01591
Autor:
Wittmann, Bastian, Wattenberg, Yannick, Amiranashvili, Tamaz, Shit, Suprosanna, Menze, Bjoern
Segmenting 3D blood vessels is a critical yet challenging task in medical image analysis. This is due to significant imaging modality-specific variations in artifacts, vascular patterns and scales, signal-to-noise ratios, and background tissues. Thes
Externí odkaz:
http://arxiv.org/abs/2411.17386
Autor:
Wilsmann, Karin Wittmann, Castro, Erick R., Roditi, Itzhak, Foerster, Angela, Hirsch, Jorge G.
This study explores the semiclassical limit of an integrable-chaotic bosonic many-body quantum system, providing nuanced insights into its behavior. We examine classical-quantum correspondences across different interaction regimes of bosons in a trip
Externí odkaz:
http://arxiv.org/abs/2411.07373
Early identification of stroke is crucial for intervention, requiring reliable models. We proposed an efficient retinal image representation together with clinical information to capture a comprehensive overview of cardiovascular health, leveraging l
Externí odkaz:
http://arxiv.org/abs/2411.05597
We derive a version of the so-called "best Fokker-Planck approximation" (BFPA) to describe the spatial properties of interacting active Ornstein-Uhlenbeck particles (AOUPs) in arbitrary spatial dimensions. In doing so, we also take into account the o
Externí odkaz:
http://arxiv.org/abs/2410.21087
Intelligent decisions in response to external informative input can allow organisms to achieve their biological goals while spending very little of their own resources. In this paper, we develop and study a minimal model for a navigational task, perf
Externí odkaz:
http://arxiv.org/abs/2410.02515
Let $E$ be the class of finite (resp. probability) measures absolutely continuous with respect to a $\sigma$-finite Radon measure on a Polish space. We present a criterion on the quasi-regularity of Dirichlet forms on $E$ in terms of upper bound cond
Externí odkaz:
http://arxiv.org/abs/2408.15687
Autor:
Grothaus, Martin, Wittmann, Simon
This article provides a scaling limit for a family of skew interacting Brownian motions in the context of mesoscopic interface models. Let $d\in\mathbb N$, $y_1,\dots,y_M\in\mathbb R$ and $f\in C_b(\mathbb R)$ be fixed. For each $N\in\mathbb N$ we co
Externí odkaz:
http://arxiv.org/abs/2408.15437
We investigate the potential performance improvements of double-hybrid density functionals by replacing the standard opposite-spin-scaled MP2 (SOS-MP2) with the modified opposite-spin-scaled MP2 (MOS-MP2) in the nonlocal correlation component. Using
Externí odkaz:
http://arxiv.org/abs/2408.13813
Autor:
Yang, Jason, Mora, Ariane, Liu, Shengchao, Wittmann, Bruce J., Anandkumar, Anima, Arnold, Frances H., Yue, Yisong
Enzymes are important proteins that catalyze chemical reactions. In recent years, machine learning methods have emerged to predict enzyme function from sequence; however, there are no standardized benchmarks to evaluate these methods. We introduce CA
Externí odkaz:
http://arxiv.org/abs/2406.15669