Zobrazeno 1 - 10
of 11 877
pro vyhledávání: '"P. Polak"'
Autor:
J. P. M. G. Linnartz, C. R. B. Corrêa, T. E. B. Cunha, E. Tangdiongga, T. Koonen, X. Deng, M. Wendt, A. A. Abbo, P. J. Stobbelaar, P. Polak, M. Müller, D. Behnke, M. Martínez, S. Vicent, T. Metin, M. Emmelmann, S. M. Kouhini, K. L. Bober, C. Kottke, V. Jungnickel
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-33 (2022)
Abstract Communication for the Internet of things (IoT) currently is predominantly narrowband and cannot always guarantee low latency and high reliability. Future IoT applications such as flexible manufacturing, augmented reality and self-driving veh
Externí odkaz:
https://doaj.org/article/ccbe2630d09b49d4a0d6749815b6e2e5
Autor:
Hu, Bingbing, Polak, Adam
Most of the known tight lower bounds for dynamic problems are based on the Online Boolean Matrix-Vector Multiplication (OMv) Hypothesis, which is not as well studied and understood as some more popular hypotheses in fine-grained complexity. It would
Externí odkaz:
http://arxiv.org/abs/2409.15970
Autor:
Li, Yizhou, Polak, Pawel
We incorporate the conditional value-at-risk (CVaR) quantity into a generalized class of Pickands estimators. By introducing CVaR, the newly developed estimators not only retain the desirable properties of consistency, location, and scale invariance
Externí odkaz:
http://arxiv.org/abs/2409.15677
Bilevel optimization methods are increasingly relevant within machine learning, especially for tasks such as hyperparameter optimization and meta-learning. Compared to the offline setting, online bilevel optimization (OBO) offers a more dynamic frame
Externí odkaz:
http://arxiv.org/abs/2409.10470
Autor:
Liu, Quanliang, Polak, Maciej P., Kim, So Yeon, Shuvo, MD Al Amin, Deodhar, Hrishikesh Shridhar, Han, Jeongsoo, Morgan, Dane, Oh, Hyunseok
Materials design often relies on human-generated hypotheses, a process inherently limited by cognitive constraints such as knowledge gaps and limited ability to integrate and extract knowledge implications, particularly when multidisciplinary experti
Externí odkaz:
http://arxiv.org/abs/2409.06756
Autor:
Jacobs, Ryan, Polak, Maciej P., Schultz, Lane E., Mahdavi, Hamed, Honavar, Vasant, Morgan, Dane
We demonstrate the ability of large language models (LLMs) to perform material and molecular property regression tasks, a significant deviation from the conventional LLM use case. We benchmark the Large Language Model Meta AI (LLaMA) 3 on several mol
Externí odkaz:
http://arxiv.org/abs/2409.06080
Nowadays superconducting radio frequency (SRF) cavities represent fundamental tools used for (Standard Model) particle acceleration, (beyond Standard Model) particle probing and long-lifetime photon preservation. We study the SRF frequency shift in t
Externí odkaz:
http://arxiv.org/abs/2409.04203
Autor:
Polak, Brooke, Mac Low, Mordecai-Mark, Klessen, Ralf S., Zwart, Simon Portegies, Andersson, Eric P., Appel, Sabrina M., Cloutier, Claude Cournoyer, Glover, Simon C. O., McMillan, Stephen L. W.
Mass segregation is seen in many star clusters, but whether massive stars form in the center of a cluster or migrate there dynamically is still debated. N-body simulations have shown that early dynamical mass segregation is possible when sub-clusters
Externí odkaz:
http://arxiv.org/abs/2408.14592
To avoid detection, adversaries often use command-line obfuscation. There are numerous techniques of the command-line obfuscation, all designed to alter the command-line syntax without affecting its original functionality. This variability forces mos
Externí odkaz:
http://arxiv.org/abs/2408.02637
Autor:
Pawlak, Jacek, Polak, John
Time sharing between activities remains an indispensable part of everyday activity pattern. However, the issue has not yet been fully acknowledged within the existing time allocation models, potentially resulting in inaccuracies in valuing travel tim
Externí odkaz:
http://arxiv.org/abs/2407.08312