Zobrazeno 1 - 10
of 18 445
pro vyhledávání: '"Bäck AT"'
The integration of Large Language Models (LLMs) with evolutionary computation (EC) has introduced a promising paradigm for automating the design of metaheuristic algorithms. However, existing frameworks, such as the Large Language Model Evolutionary
Externí odkaz:
http://arxiv.org/abs/2412.03250
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
Boundary Representation (B-Rep) is the de facto representation of 3D solids in Computer-Aided Design (CAD). B-Rep solids are defined with a set of NURBS (Non-Uniform Rational B-Splines) surfaces forming a closed volume. To represent a surface, curren
Externí odkaz:
http://arxiv.org/abs/2411.10848
Autor:
Pereverdieva, Ksenia, Deutz, André, Ezendam, Tessa, Bäck, Thomas, Hofmeyer, Hèrm, Emmerich, Michael T. M.
Indicator-based (multiobjective) diversity optimization aims at finding a set of near (Pareto-)optimal solutions that maximizes a diversity indicator, where diversity is typically interpreted as the number of essentially different solutions. Whereas,
Externí odkaz:
http://arxiv.org/abs/2410.18900
Given a set $A$ and an abelian group $B$ with operators in $A$, in the sense of Krull and Noether, we introduce the Ore group extension $B[x ; \delta_B , \sigma_B]$ as the additive group $B[x]$, with $A[x]$ as a set of operators. Here, the action of
Externí odkaz:
http://arxiv.org/abs/2410.16761
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
Large Language Models (LLMs) have shown great potential in automatically generating and optimizing (meta)heuristics, making them valuable tools in heuristic optimization tasks. However, LLMs are generally inefficient when it comes to fine-tuning hype
Externí odkaz:
http://arxiv.org/abs/2410.16309
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
Autor:
Labiad, Ismail, Bäck, Thomas, Fernandez, Pierre, Najman, Laurent, Sander, Tom, Ye, Furong, Zameshina, Mariia, Teytaud, Olivier
In many cases, adversarial attacks are based on specialized algorithms specifically dedicated to attacking automatic image classifiers. These algorithms perform well, thanks to an excellent ad hoc distribution of initial attacks. However, these attac
Externí odkaz:
http://arxiv.org/abs/2409.15119
In time-series classification, understanding model decisions is crucial for their application in high-stakes domains such as healthcare and finance. Counterfactual explanations, which provide insights by presenting alternative inputs that change mode
Externí odkaz:
http://arxiv.org/abs/2409.09461