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pro vyhledávání: '"Arndt AT"'
Undulators are X-ray sources that are widely utilised in advanced synchrotron radiation sources and freeelectron laser facilities. Due to sustainability and energy efficiency, the development focuses on small-scale, high-field, and especially compact
Externí odkaz:
http://arxiv.org/abs/2411.08422
Autor:
Miki, Takeshi, Chang, Chun-Wei, Ke, Po-Ju, Telschow, Arndt, Tsai, Cheng-Han, Ushio, Masayuki, Hsieh, Chih-hao
Quantifying interaction strengths between state variables in dynamical systems is essential for understanding ecological networks. Within the empirical dynamic modeling approach, multivariate S-map infers the interaction Jacobian from time series dat
Externí odkaz:
http://arxiv.org/abs/2411.09030
Autor:
Dias, Philipe, Tsaris, Aristeidis, Bowman, Jordan, Potnis, Abhishek, Arndt, Jacob, Yang, H. Lexie, Lunga, Dalton
Publikováno v:
The 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL 24), October 29-November 1, 2024, Atlanta, GA, USA. ACM, New York, NY, USA, 4 pages
While the pretraining of Foundation Models (FMs) for remote sensing (RS) imagery is on the rise, models remain restricted to a few hundred million parameters. Scaling models to billions of parameters has been shown to yield unprecedented benefits inc
Externí odkaz:
http://arxiv.org/abs/2410.19965
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