On the Global Convergence of Particle Swarm Optimization Methods
 Huang, H Qiu, J Riedl, K Applied Mathematics & Optimization volume 88 issue 2 (31 May 2023)
Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law
 Riedl, K European Journal of Applied Mathematics volume 35 issue 4 483-514 (20 Oct 2023)
Consensus-based optimization methods converge globally
 Fornasier, M Klock, T Riedl, K SIAM Journal on Optimization volume 34 issue 3 2973-3004 (03 Sep 2024)
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law
 Fornasier, M Klock, T Riedl, K Applications of Evolutionary Computation volume 13224 738-754 (15 Apr 2022)
Consensus-based optimisation with truncated noise
 Fornasier, M Richtárik, P Riedl, K Sun, L European Journal of Applied Mathematics 1-24 (05 Apr 2024)
CBX: Python and Julia Packages for Consensus-Based
Interacting Particle Methods
 Bailo, R Barbaro, A Gomes, S Riedl, K Roith, T Totzeck, C Vaes, U Journal of Open Source Software volume 9 issue 98 6611-6611 (21 Jun 2024)
Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks
 Arnold, N Zhong, P Ba, C Steer, B Mondragon, R Cuadrado, F Lambiotte, R Clegg, R Scientific Reports volume 14 issue 1 (04 Nov 2024)
Collective effect of self-learning and social learning on language dynamics: a naming game approach in social networks
 Wen, T Chen, Y Lambiotte, R Journal of the Royal Society Interface volume 21 issue 221 (04 Dec 2024)
Investigation of logarithmic signatures for feature extraction and application to marine engine fault diagnosis
 Patil, C Theotokatos, G Wu, Y Lyons, T Engineering Applications of Artificial Intelligence volume 138 issue Part A (25 Sep 2024)
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