Zobrazeno 1 - 10
of 81 634
pro vyhledávání: '"Arndt A"'
Autor:
Wei Zhang, Arndt A. Schmitz, Roosa E. Kallionpää, Merja Perälä, Niina Pitkänen, Mikko Tukiainen, Erika Alanne, Korinna Jöhrens, Renate Schulze-Rath, Bahman Farahmand, Jihong Zong
Publikováno v:
Acta Oncologica, Vol 63, Iss 1 (2024)
Background: Neurotrophic tyrosine receptor kinase (NTRK) gene fusions are oncogenic drivers. Using the Auria Biobank in Finland, we aimed to identify and characterize patients with these gene fusions, and describe their clinical and tumor characteris
Externí odkaz:
https://doaj.org/article/e095f9124f444d38a0377cda8832f56f
Autor:
Oruganti, Sanjay, Nirenburg, Sergei, McShane, Marjorie, English, Jesse, Roberts, Michael K., Arndt, Christian
This paper presents a novel approach to multi-robot planning and collaboration. We demonstrate a cognitive strategy for robots in human-robot teams that incorporates metacognition, natural language communication, and explainability. The system is emb
Externí odkaz:
http://arxiv.org/abs/2409.18047
Autor:
Oruganti, Sanjay, Nirenburg, Sergei, McShane, Marjorie, English, Jesse, Roberts, Michael K., Arndt, Christian
We present HARMONIC, a framework for implementing cognitive robots that transforms general-purpose robots into trusted teammates capable of complex decision-making, natural communication and human-level explanation. The framework supports interoperab
Externí odkaz:
http://arxiv.org/abs/2409.18037
Autor:
Arndt, Clemens, Nickel, Judith
Learning-based methods have demonstrated remarkable performance in solving inverse problems, particularly in image reconstruction tasks. Despite their success, these approaches often lack theoretical guarantees, which are crucial in sensitive applica
Externí odkaz:
http://arxiv.org/abs/2409.13482
In image-based reinforcement learning (RL), policies usually operate in two steps: first extracting lower-dimensional features from raw images (the "recognition" step), and then taking actions based on the extracted features (the "decision" step). Ex
Externí odkaz:
http://arxiv.org/abs/2409.13108
Autor:
Prokopenko, Andrey, Arndt, Daniel, Lebrun-Grandié, Damien, Turcksin, Bruno, Frontiere, Nicholas, Emberson, J. D., Buehlmann, Michael
ArborX is a performance portable geometric search library developed as part of the Exascale Computing Project (ECP). In this paper, we explore a collaboration between ArborX and a cosmological simulation code HACC. Large cosmological simulations on e
Externí odkaz:
http://arxiv.org/abs/2409.10743
The integration of Large Language Models (LLMs) with Knowledge Graphs (KGs) offers significant synergistic potential for knowledge-driven applications. One possible integration is the interpretation and generation of formal languages, such as those u
Externí odkaz:
http://arxiv.org/abs/2409.05925
Autor:
Sîmpetru, Raul C., Braun, Dominik I., Simon, Arndt U., März, Michael, Cnejevici, Vlad, de Oliveira, Daniela Souza, Weber, Nico, Walter, Jonas, Franke, Jörg, Höglinger, Daniel, Prahm, Cosima, Ponfick, Matthias, Del Vecchio, Alessandro
Restoring limb motor function in individuals with spinal cord injury (SCI), stroke, or amputation remains a critical challenge, one which affects millions worldwide. Recent studies show through surface electromyography (EMG) that spared motor neurons
Externí odkaz:
http://arxiv.org/abs/2408.07817
Autor:
Simonović, Ksenija, Ferstl, Richard, Di Silvestro, Alfredo, Mayor, Marcel, Martinetz, Lukas, Hornberger, Klaus, Stickler, Benjamin A., Brand, Christian, Arndt, Markus
Matter-wave interferometry with molecules is intriguing both because it demonstrates a fundamental quantum phenomenon and because it opens avenues to quantum-enhanced measurements in physical chemistry. One great challenge in such experiments is to e
Externí odkaz:
http://arxiv.org/abs/2408.00461
This paper presents an in-depth examination of checkpoint-restart mechanisms in High-Performance Computing (HPC). It focuses on the use of Distributed MultiThreaded CheckPointing (DMTCP) in various computational settings, including both within and ou
Externí odkaz:
http://arxiv.org/abs/2407.19117