Zobrazeno 1 - 10
of 963
pro vyhledávání: '"P. A. Kononova"'
Benchmarking anomaly detection approaches for multivariate time series is challenging due to the lack of high-quality datasets. Current publicly available datasets are too small, not diverse and feature trivial anomalies, which hinders measurable pro
Externí odkaz:
http://arxiv.org/abs/2411.13951
Traditional approaches to training agents have generally involved a single, deterministic environment of minimal complexity to solve various tasks such as robot locomotion or computer vision. However, agents trained in static environments lack genera
Externí odkaz:
http://arxiv.org/abs/2411.13072
Autor:
Siemonsa, Marijn, Veen, Martijn, Malysheva, Irina, Algera, Johannes, Philippi, Stefan, Antonov, Kirill, van Stein, Niki, Loicq, Jérôme, Bhattacharya, Nandini, Berlich, René, Kononova, Anna V., Kohlhaas, Ralf
The need of atmospheric information with a higher spatial and temporal resolution drives the development of small satellites and satellite constellations to complement satellite flagship missions. Since optical systems are a main contributor to the s
Externí odkaz:
http://arxiv.org/abs/2411.02056
Autor:
Antonov, Kirill, Siemons, Marijn, van Stein, Niki, Bäck, Thomas H. W., Kohlhaas, Ralf, Kononova, Anna V.
This work addresses the critical challenge of optimal filter selection for a novel trace gas measurement device. This device uses photonic crystal filters to retrieve trace gas concentrations prone to photon and read noise. The filter selection direc
Externí odkaz:
http://arxiv.org/abs/2410.13657
The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is one of the most successful examples of a derandomized evolution strategy. However, it still relies on randomly sampling offspring, which can be done via a uniform distribution and subseq
Externí odkaz:
http://arxiv.org/abs/2409.15941
Time-series anomaly detection plays an important role in engineering processes, like development, manufacturing and other operations involving dynamic systems. These processes can greatly benefit from advances in the field, as state-of-the-art approa
Externí odkaz:
http://arxiv.org/abs/2408.03747
We introduce here the concept of Artificial General Creatures (AGC) which encompasses "robotic or virtual agents with a wide enough range of capabilities to ensure their continued survival". With this in mind, we propose a research line aimed at incr
Externí odkaz:
http://arxiv.org/abs/2407.21357
As attention to recorded data grows in the realm of automotive testing and manual evaluation reaches its limits, there is a growing need for automatic online anomaly detection. This real-world data is complex in many ways and requires the modelling o
Externí odkaz:
http://arxiv.org/abs/2407.06849
Na\"ive restarts of global optimization solvers when operating on multimodal search landscapes may resemble the Coupon's Collector Problem, with a potential to waste significant function evaluations budget on revisiting the same basins of attractions
Externí odkaz:
http://arxiv.org/abs/2405.01226
To guide the design of better iterative optimisation heuristics, it is imperative to understand how inherent structural biases within algorithm components affect the performance on a wide variety of search landscapes. This study explores the impact o
Externí odkaz:
http://arxiv.org/abs/2404.17323