Zobrazeno 1 - 10
of 45 904
pro vyhledávání: '"A. Croft"'
Learning from Demonstration (LfD) is a powerful type of machine learning that can allow novices to teach and program robots to complete various tasks. However, the learning process for these systems may still be difficult for novices to interpret and
Externí odkaz:
http://arxiv.org/abs/2410.05715
Autor:
Ni, Yueying, Chen, Nianyi, Zhou, Yihao, Park, Minjung, Yang, Yanhui, DiMatteo, Tiziana, Bird, Simeon, Croft, Rupert
We present new results from the ASTRID simulation from $z=3$ to $z=0.5$, covering the epoch of cosmic noon. The galaxy stellar mass function, as well as the black hole mass and luminosity functions in ASTRID, exhibit good agreement with recent observ
Externí odkaz:
http://arxiv.org/abs/2409.10666
AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations
Autor:
Zhang, Xiaowen, Lachance, Patrick, Dasgupta, Ankita, Croft, Rupert A. C., Di Matteo, Tiziana, Ni, Yueying, Bird, Simeon, Li, Yin
Super-resolution (SR) models in cosmological simulations use deep learning (DL) to rapidly supplement low-resolution (LR) runs with statistically correct, fine details. The SR technique preserves large-scale structures by conditioning on a low-resolu
Externí odkaz:
http://arxiv.org/abs/2408.09051
Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained significant attent
Externí odkaz:
http://arxiv.org/abs/2408.00435
Communication is essential for successful interaction. In human-robot interaction, implicit communication enhances robots' understanding of human needs, emotions, and intentions. This paper introduces a method to foster implicit communication in HRI
Externí odkaz:
http://arxiv.org/abs/2406.12253
Autor:
Pazos, Camila, Aeron, Shuchin, Beauchemin, Pierre-Hugues, Croft, Vincent, Klassen, Martin, Wongjirad, Taritree
The unfolding of detector effects in experimental data is critical for enabling precision measurements in high-energy physics. However, traditional unfolding methods face challenges in scalability, flexibility, and dependence on simulations. We intro
Externí odkaz:
http://arxiv.org/abs/2406.01507
Publikováno v:
Few-Body Systems 65, 61 (2024)
We provide an overview of experiments exploring resonances in the collision of ultracold clouds of atoms. Using a laser-based accelerator that capitalizes on the energy resolution provided by the ultracold atomic setting, we unveil resonance phenomen
Externí odkaz:
http://arxiv.org/abs/2405.03149
Autor:
A. Khan, M. Colombo, J. Reyat, G. Wang, A. Rodriguez-Romera, W. X. Wen, L. Murphy, B. Grygielska, C. Mahoney, A. Stone, A. Croft, D. Bassett, G. Poologasundarampillai, A. Roy, S. Gooding, J. Rayes, K. Machlus, B. Psaila
Publikováno v:
HemaSphere, Vol 6, Pp 147-148 (2022)
Externí odkaz:
https://doaj.org/article/f09f76eb99d946afbe368d7fba67db50
Publikováno v:
LRA.2024.3384037
Collaborative robots must effectively communicate their internal state to humans to enable a smooth interaction. Nonverbal communication is widely used to communicate information during human-robot interaction, however, such methods may also be misun
Externí odkaz:
http://arxiv.org/abs/2404.19253
Autor:
Weissweiler, Leonie, Böbel, Nina, Guiller, Kirian, Herrera, Santiago, Scivetti, Wesley, Lorenzi, Arthur, Melnik, Nurit, Bhatia, Archna, Schütze, Hinrich, Levin, Lori, Zeldes, Amir, Nivre, Joakim, Croft, William, Schneider, Nathan
The Universal Dependencies (UD) project has created an invaluable collection of treebanks with contributions in over 140 languages. However, the UD annotations do not tell the full story. Grammatical constructions that convey meaning through a partic
Externí odkaz:
http://arxiv.org/abs/2403.17748