Zobrazeno 1 - 10
of 4 367
pro vyhledávání: '"Tarnawski A"'
We study the metric Steiner tree problem in the sublinear query model. In this problem, for a set of $n$ points $V$ in a metric space given to us by means of query access to an $n\times n$ matrix $w$, and a set of terminals $T\subseteq V$, the goal i
Externí odkaz:
http://arxiv.org/abs/2411.09059
Distributed execution of deep learning training involves a dynamic interplay between hardware accelerator architecture and device placement strategy. This is the first work to explore the co-optimization of determining the optimal architecture and de
Externí odkaz:
http://arxiv.org/abs/2407.13143
Many methods in differentially private model training rely on computing the similarity between a query point (such as public or synthetic data) and private data. We abstract out this common subroutine and study the following fundamental algorithmic p
Externí odkaz:
http://arxiv.org/abs/2403.08917
Autor:
Götz, Michael, Weber, Christian, Binczyk, Franciszek, Polanska, Joanna, Tarnawski, Rafal, Bobek-Billewicz, Barbara, Köthe, Ullrich, Kleesiek, Jens, Stieltjes, Bram, Maier-Hein, Klaus H.
Publikováno v:
IEEE Transactions on Medical Imaging ( Volume: 35, Issue: 1, January 2016)
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for automated tumor segmentation. The practicality of current learning-base
Externí odkaz:
http://arxiv.org/abs/2403.07434
Distributed LLM serving is costly and often underutilizes hardware accelerators due to three key challenges: bubbles in pipeline-parallel deployments caused by the bimodal latency of prompt and token processing, GPU memory overprovisioning, and long
Externí odkaz:
http://arxiv.org/abs/2403.01876
Submodular maximization over a matroid constraint is a fundamental problem with various applications in machine learning. Some of these applications involve decision-making over datapoints with sensitive attributes such as gender or race. In such set
Externí odkaz:
http://arxiv.org/abs/2312.14299
Streaming submodular maximization is a natural model for the task of selecting a representative subset from a large-scale dataset. If datapoints have sensitive attributes such as gender or race, it becomes important to enforce fairness to avoid bias
Externí odkaz:
http://arxiv.org/abs/2305.15118
Autor:
Kołodziej, T., Piętosa, J., Puźniak, R., Wiśniewski, A., Król, G., Kąkol, Z., Biało, I., Tarnawski, Z., Ślęzak, M., Podgórska, K., Niewolski, J., Gala, M. A., Kozłowski, A., Honig, J. M., Tabiś, W.
Publikováno v:
Phys. Rev. B 108, 245148 (2023)
Trimeron lattice excitations in single crystalline magnetite, in the form of the $c$ axis switching (i.e. the reorganization of the lattice caused by external magnetic field) at temperatures below the Verwey temperature $T_V$ are observed by magnetiz
Externí odkaz:
http://arxiv.org/abs/2304.14032
Autor:
Jan Otto Wirth, Eva-Maria Schentarra, Lukas Scheiderer, Victor Macarrón-Palacios, Miroslaw Tarnawski, Stefan W. Hell
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Neurons grow neurites of several tens of micrometers in length, necessitating active transport from the cell body by motor proteins. By tracking fluorophores as minimally invasive labels, MINFLUX is able to quantify the motion of those prote
Externí odkaz:
https://doaj.org/article/4c2c7df4c761496a82b7f0956f6870f6
Publikováno v:
In Current Opinion in Endocrine and Metabolic Research December 2024 37