Zobrazeno 1 - 10
of 10 456
pro vyhledávání: '"Laue, A"'
Autor:
Laue, Sören, Prusina, Tomislav
Unconstrained optimization problems are typically solved using iterative methods, which often depend on line search techniques to determine optimal step lengths in each iteration. This paper introduces a novel line search approach. Traditional line s
Externí odkaz:
http://arxiv.org/abs/2405.10897
We present a novel approach to detecting noun abstraction within a large language model (LLM). Starting from a psychologically motivated set of noun pairs in taxonomic relationships, we instantiate surface patterns indicating hypernymy and analyze th
Externí odkaz:
http://arxiv.org/abs/2404.15848
Hybrid work, a fusion of different work environments that allow employees to work in and outside their offices, represents a new frontier for agile researchers to explore. However, due to the nascent nature of the research phenomena, we are yet to ac
Externí odkaz:
http://arxiv.org/abs/2404.09983
Efficient beam training is the key challenge in the codebook-based configuration of reconfigurable intelligent surfaces (RISs) because the beam training overhead can have a strong impact on the achievable system performance. In this paper, we study t
Externí odkaz:
http://arxiv.org/abs/2402.16372
Autor:
Tobias Hoffmann, Janine Michel, Andreas Nitsche, Christin Mache, Jessica Schulze, Thorsten Wolff, Michael Laue
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-6 (2024)
Abstract Conventional thin section electron microscopy of viral pathogens, such as the pandemic SARS-CoV-2, can provide structural information on the virus particle phenotype and its evolution. We recorded about 900 transmission electron microscopy i
Externí odkaz:
https://doaj.org/article/32feccbc24394046be703df7543ef1fb
Autor:
Stebner, Sophie Charlotte, Martschin, Juri, Arian, Bahman, Dietrich, Stefan, Feistle, Martin, Hütter, Sebastian, Lafarge, Rémi, Laue, Robert, Li, Xinyang, Schulte, Christopher, Spies, Daniel, Thein, Ferdinand, Wendler, Frank, Wrobel, Malte, Vasquez, Julian Rozo, Dölz, Michael, Münstermann, Sebastian
As recent trends in manufacturing engineering disciplines show a clear development in the sustainable as well as economically efficient design of forming processes, monitoring techniques have been gaining in relevance. In terms of monitoring of produ
Externí odkaz:
http://arxiv.org/abs/2305.19601
Autor:
Johanna Zerbib, Marica Rosaria Ippolito, Yonatan Eliezer, Giuseppina De Feudis, Eli Reuveni, Anouk Savir Kadmon, Sara Martin, Sonia Viganò, Gil Leor, James Berstler, Julia Muenzner, Michael Mülleder, Emma M. Campagnolo, Eldad D. Shulman, Tiangen Chang, Carmela Rubolino, Kathrin Laue, Yael Cohen-Sharir, Simone Scorzoni, Silvia Taglietti, Alice Ratti, Chani Stossel, Talia Golan, Francesco Nicassio, Eytan Ruppin, Markus Ralser, Francisca Vazquez, Uri Ben-David, Stefano Santaguida
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Aneuploidy is a hallmark of human cancer, yet the molecular mechanisms to cope with aneuploidy-induced cellular stresses remain largely unknown. Here, we induce chromosome mis-segregation in non-transformed RPE1-hTERT cells and derive multip
Externí odkaz:
https://doaj.org/article/39fb3782127942b7a41803d50388bb0d
Autor:
Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler, Sven Giesselbach
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Medical text, as part of an electronic health record, is an essential information source in healthcare. Although natural language processing (NLP) techniques for medical text are developing fast, successful transfer into clinical
Externí odkaz:
https://doaj.org/article/777b3db876ca444ead0e9ec51bb0f4c9
Autor:
Ketata, Mohamed Amine, Laue, Cedrik, Mammadov, Ruslan, Stärk, Hannes, Wu, Menghua, Corso, Gabriele, Marquet, Céline, Barzilay, Regina, Jaakkola, Tommi S.
Understanding how proteins structurally interact is crucial to modern biology, with applications in drug discovery and protein design. Recent machine learning methods have formulated protein-small molecule docking as a generative problem with signifi
Externí odkaz:
http://arxiv.org/abs/2304.03889
Capsule neural networks replace simple, scalar-valued neurons with vector-valued capsules. They are motivated by the pattern recognition system in the human brain, where complex objects are decomposed into a hierarchy of simpler object parts. Such a
Externí odkaz:
http://arxiv.org/abs/2301.01583