Zobrazeno 1 - 10
of 50 347
pro vyhledávání: '"Petrova SO"'
Autor:
Paeleke, Leonard, Keshtiarast, Navid, Seehofer, Paul, Bless, Roland, Karl, Holger, Petrova, Marina, Zitterbart, Martina
6G networks will be highly dynamic, re-configurable, and resilient. To enable and support such features, employing AI has been suggested. Integrating AIin networks will likely require distributed AI deployments with resilient connectivity, e.g., for
Externí odkaz:
http://arxiv.org/abs/2410.11565
Autor:
Kvanchiani, Karina, Surovtsev, Petr, Nagaev, Alexander, Petrova, Elizaveta, Kapitanov, Alexander
This paper investigates the recognition of the Russian fingerspelling alphabet, also known as the Russian Sign Language (RSL) dactyl. Dactyl is a component of sign languages where distinct hand movements represent individual letters of a written lang
Externí odkaz:
http://arxiv.org/abs/2410.08675
In his study of graph codes, Alon introduced the concept of the odd-Ramsey number of a family of graphs $\mathcal{H}$ in $K_n$, defined as the minimum number of colours needed to colour the edges of $K_n$ so that every copy of a graph $H\in \mathcal{
Externí odkaz:
http://arxiv.org/abs/2410.05887
Autor:
Janiak, Jett, Karwowski, Jacek, Mangat, Chatrik Singh, Giglemiani, Giorgi, Petrova, Nora, Heimersheim, Stefan
We identify "stable regions" in the residual stream of Transformers, where the model's output remains insensitive to small activation changes, but exhibits high sensitivity at region boundaries. These regions emerge during training and become more de
Externí odkaz:
http://arxiv.org/abs/2409.17113
Sparse Auto-Encoders (SAEs) are commonly employed in mechanistic interpretability to decompose the residual stream into monosemantic SAE latents. Recent work demonstrates that perturbing a model's activations at an early layer results in a step-funct
Externí odkaz:
http://arxiv.org/abs/2409.15019
Cooperative multi-monostatic sensing enables accurate positioning of passive targets by combining the sensed environment of multiple base stations (BS). In this work, we propose a novel fusion algorithm that optimally finds the weight to combine the
Externí odkaz:
http://arxiv.org/abs/2408.16464
Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning
In this letter, we propose a novel Multi-Agent Deep Reinforcement Learning (MADRL) framework for Medium Access Control (MAC) protocol design. Unlike centralized approaches, which rely on a single entity for decision-making, MADRL empowers individual
Externí odkaz:
http://arxiv.org/abs/2408.05884
To enable widespread use of Integrated Sensing and Communication (ISAC) in future communication systems, an important requirement is the ease of integration. A possible way to achieve this is to use existing communication reference signals for sensin
Externí odkaz:
http://arxiv.org/abs/2407.13478
MaxCut is a classical NP-complete problem and a crucial building block in many combinatorial algorithms. The famous Edwards-Erd\H{o}s bound states that any connected graph on n vertices with m edges contains a cut of size at least $m/2 + (n-1)/4$. Cr
Externí odkaz:
http://arxiv.org/abs/2407.01071
The magnetoresistance, MR of a well-characterized bulk FeSi sample was studied. It is shown that after a chaotic behavior at temperatures below 6 K, the magnetoresistance of FeSi becomes regular functions of temperature and magnetic field. The observ
Externí odkaz:
http://arxiv.org/abs/2406.12004