Zobrazeno 1 - 10
of 405
pro vyhledávání: '"Loerch, P."'
In a physical system, changing parameters such as temperature can induce a phase transition: an abrupt change from one state of matter to another. Analogous phenomena have recently been observed in large language models. Typically, the task of identi
Externí odkaz:
http://arxiv.org/abs/2405.17088
Despite the widespread use and success of machine-learning techniques for detecting phase transitions from data, their working principle and fundamental limits remain elusive. Here, we explain the inner workings and identify potential failure modes o
Externí odkaz:
http://arxiv.org/abs/2311.10710
Machine learning has been successfully used to study phase transitions. One of the most popular approaches to identifying critical points from data without prior knowledge of the underlying phases is the learning-by-confusion scheme. As input, it req
Externí odkaz:
http://arxiv.org/abs/2311.09128
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
The generation of iPSC-derived hepatocyte-like cells (HLCs) is a powerful tool for studying liver diseases, their therapy as well as drug development. iPSC-derived disease models benefit from their diverse origin of patients, enabling the study of di
Externí odkaz:
https://doaj.org/article/37f1b8af35204c5394ffd74cbb512d35
Autor:
Cormier, Mickael, Moshkenan, Houraalsadat Mortazavi, Lörch, Franz, Metzler, Jürgen, Beyerer, Jürgen
Our goal is to transfer the motion of real people from a source video to a target video with realistic results. While recent advances significantly improved image-to-image translations, only few works account for body motions and temporal consistency
Externí odkaz:
http://arxiv.org/abs/2104.04721
Publikováno v:
Mach. Learn.: Sci. Technol. 1, 035009 (2020)
Optimal control is highly desirable in many current quantum systems, especially to realize tasks in quantum information processing. We introduce a method based on differentiable programming to leverage explicit knowledge of the differential equations
Externí odkaz:
http://arxiv.org/abs/2002.08376
Publikováno v:
STAR Protocols, Vol 4, Iss 4, Pp 102717- (2023)
Summary: Sensory neurons play pervasive roles throughout biology. In vitro studies to probe their functions hinge on the successful application of primary cell culture. Here, we present a protocol for the isolation and culture of mouse dorsal root ga
Externí odkaz:
https://doaj.org/article/82855a507c1d457493dc978f5b99b54d
Autor:
Audrey Ncube, Lisa Bewersdorf, Lucas-Sebastian Spitzhorn, Christiane Loerch, Martina Bohndorf, Nina Graffmann, Lea May, Samira Amzou, Malin Fromme, Wasco Wruck, Pavel Strnad, James Adjaye
Publikováno v:
Stem Cell Research, Vol 71, Iss , Pp 103171- (2023)
SIX2-positive urine derived renal progenitor cells were isolated from a male and female alpha1-antitrypsin deficiency (AATD) patients both harboring the homozygous PiZZ genotype. The cells were reprogrammed to generate two integration-free induced pl
Externí odkaz:
https://doaj.org/article/7319737f42a044e384eca667bc6931da
Autor:
Greplova, Eliska, Valenti, Agnes, Boschung, Gregor, Schäfer, Frank, Lörch, Niels, Huber, Sebastian
Publikováno v:
New J. Phys. 22 045003 (2020)
Machine-learning driven models have proven to be powerful tools for the identification of phases of matter. In particular, unsupervised methods hold the promise to help discover new phases of matter without the need for any prior theoretical knowledg
Externí odkaz:
http://arxiv.org/abs/1910.10124
Publikováno v:
Phys. Rev. Research 2, 013071 (2020)
We present a heralded state preparation scheme for driven nonlinear open quantum systems. The protocol is based on a continuous photon counting measurement of the system's decay channel. When no photons are detected for a period of time, the system h
Externí odkaz:
http://arxiv.org/abs/1906.05126