Zobrazeno 1 - 10
of 92 031
pro vyhledávání: '"Svensson AS"'
Autor:
Krejčí, Jan, Kost, Oliver, Straka, Ondřej, Xia, Yuxuan, Svensson, Lennart, García-Fernández, Ángel F.
Multi-object tracking algorithms are deployed in various applications, each with unique performance requirements. For example, track switches pose significant challenges for offline scene understanding, as they hinder the accuracy of data interpretat
Externí odkaz:
http://arxiv.org/abs/2412.08321
We address multi-view pedestrian detection in a setting where labeled data is collected using a multi-camera setup different from the one used for testing. While recent multi-view pedestrian detectors perform well on the camera rig used for training,
Externí odkaz:
http://arxiv.org/abs/2412.04117
Autor:
Dütting, Paul, Fusco, Federico, Lattanzi, Silvio, Norouzi-Fard, Ashkan, Svensson, Ola, Zadimoghaddam, Morteza
In this work, we study online submodular maximization, and how the requirement of maintaining a stable solution impacts the approximation. In particular, we seek bounds on the best-possible approximation ratio that is attainable when the algorithm is
Externí odkaz:
http://arxiv.org/abs/2412.02492
Autor:
Drygala, Marina, Lattanzi, Silvio, Maggiori, Andreas, Stouras, Miltiadis, Svensson, Ola, Vassilvitskii, Sergei
In this paper, we consider a new problem of portfolio optimization using stochastic information. In a setting where there is some uncertainty, we ask how to best select $k$ potential solutions, with the goal of optimizing the value of the best soluti
Externí odkaz:
http://arxiv.org/abs/2412.00717
Ensuring the safety of autonomous robots, such as self-driving vehicles, requires extensive testing across diverse driving scenarios. Simulation is a key ingredient for conducting such testing in a cost-effective and scalable way. Neural rendering me
Externí odkaz:
http://arxiv.org/abs/2411.16816
We consider a mesh network at the edge of a wireless network that connects users with the core network via multiple base stations. For this scenario we present a novel tree-search based algorithm that determines the optimal communication path to the
Externí odkaz:
http://arxiv.org/abs/2411.10228
Autor:
Ge, Yu, Kaltiokallio, Ossi, Chen, Hui, Talvitie, Jukka, Xia, Yuxuan, Madhusudan, Giyyarpuram, Larue, Guillaume, Svensson, Lennart, Valkama, Mikko, Wymeersch, Henk
The concept of 6G distributed integrated sensing and communications (DISAC) builds upon the functionality of integrated sensing and communications (ISAC) by integrating distributed architectures, significantly enhancing both sensing and communication
Externí odkaz:
http://arxiv.org/abs/2411.01871
Digital twinning is becoming increasingly vital in the design and real-time control of future wireless networks by providing precise cost-effective simulations, predictive insights, and real-time data integration. This paper explores the application
Externí odkaz:
http://arxiv.org/abs/2410.14620
Fine-tuning a pre-trained generative model has demonstrated good performance in generating promising drug molecules. The fine-tuning task is often formulated as a reinforcement learning problem, where previous methods efficiently learn to optimize a
Externí odkaz:
http://arxiv.org/abs/2410.10431
We extract electron transport properties from atomistic simulations of a two-component plasma, by mapping the long-wavelength behaviour to a two-fluid model. The mapping procedure is performed via Markov Chain Monte Carlo sampling over multiple spect
Externí odkaz:
http://arxiv.org/abs/2410.08664