Zobrazeno 1 - 10
of 726
pro vyhledávání: '"Wutte, A"'
We discuss the geometry of three-dimensional warped Anti-de Sitter spaces and quotients thereof, paying special attention to the underlying group manifold and global causal structure.
Comment: 54 pages, 11 figures, 3 tables
Comment: 54 pages, 11 figures, 3 tables
Externí odkaz:
http://arxiv.org/abs/2410.09688
Robust utility optimization enables an investor to deal with market uncertainty in a structured way, with the goal of maximizing the worst-case outcome. In this work, we propose a generative adversarial network (GAN) approach to (approximately) solve
Externí odkaz:
http://arxiv.org/abs/2403.15243
Autor:
Chruściel, Piotr T., Wutte, Raphaela
We review notions of mass of asymptotically locally Anti-de Sitter three-dimensional spacetimes, and apply them to some known solutions. For two-dimensional general relativistic initial data sets the mass is not invariant under asymptotic symmetries,
Externí odkaz:
http://arxiv.org/abs/2401.04048
Publikováno v:
SciPost Phys. 16, 141 (2024)
We devise new boundary conditions for the near-horizon geometries of extremal BTZ and Kerr black holes, as well as for the ultra-cold limit of the Kerr-de Sitter black hole. These boundary conditions are obtained as the higher-dimensional uplift of r
Externí odkaz:
http://arxiv.org/abs/2312.08353
Autor:
Teichmann, Josef, Wutte, Hanna
Introduced in the late 90s, the passport option gives its holder the right to trade in a market and receive any positive gain in the resulting traded account at maturity. Pricing the option amounts to solving a stochastic control problem that for $d>
Externí odkaz:
http://arxiv.org/abs/2307.14887
Randomized neural networks (randomized NNs), where only the terminal layer's weights are optimized constitute a powerful model class to reduce computational time in training the neural network model. At the same time, these models generalize surprisi
Externí odkaz:
http://arxiv.org/abs/2303.11454
Autor:
Daniel Garcia-Ovejero, Evelyn Beyerer, Orpheus Mach, Iris Leister, Martin Strowitzki, Christof Wutte, Doris Maier, John LK Kramer, Ludwig Aigner, Angel Arevalo-Martin, Lukas Grassner
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-17 (2024)
Abstract Background The discovery of new prognostic biomarkers following spinal cord injury (SCI) is a rapidly growing field that could help uncover the underlying pathological mechanisms of SCI and aid in the development of new therapies. To date, t
Externí odkaz:
https://doaj.org/article/774e8d415fbb4a3a8581b08cc9251e7a
In practice, multi-task learning (through learning features shared among tasks) is an essential property of deep neural networks (NNs). While infinite-width limits of NNs can provide good intuition for their generalization behavior, the well-known in
Externí odkaz:
http://arxiv.org/abs/2112.15577
We derive a formula for the energy of asymptotically locally hyperbolic (ALH) manifolds obtained by a gluing at infinity of two ALH manifolds. As an application we show that there exist three-dimensional conformally compact ALH manifolds either witho
Externí odkaz:
http://arxiv.org/abs/2112.00095
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning, PMLR 162:8708-8758, 2022
We study methods for estimating model uncertainty for neural networks (NNs) in regression. To isolate the effect of model uncertainty, we focus on a noiseless setting with scarce training data. We introduce five important desiderata regarding model u
Externí odkaz:
http://arxiv.org/abs/2102.13640